Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFlávio P. Calmon
Flávio du Pin Calmon
Person information
- affiliation: Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
- affiliation: IBM T. J. Watson Research Center, Yorktown, NY, USA
- affiliation: Massachusetts Institute of Technology (MIT), Electrical Engineering and Computer Science Department, Cambridge, MA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j22]Wael Alghamdi
, Flávio P. Calmon:
Measuring Information From Moments. IEEE Trans. Inf. Theory 70(2): 763-802 (2024)- [i66]Jamelle Watson-Daniels, Flávio du Pin Calmon, Alexander D'Amour, Carol Xuan Long, David C. Parkes, Berk Ustun:
Predictive Churn with the Set of Good Models. CoRR abs/2402.07745 (2024) - [i65]Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju:
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE). CoRR abs/2402.10376 (2024) - [i64]Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon:
Algorithmic Arbitrariness in Content Moderation. CoRR abs/2402.16979 (2024) - 2023
- [j21]Hao Wang, Rui Gao, Flávio P. Calmon:
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. J. Mach. Learn. Res. 24: 26:1-26:43 (2023) - [j20]Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
Bottlenecks CLUB: Unifying Information-Theoretic Trade-Offs Among Complexity, Leakage, and Utility. IEEE Trans. Inf. Forensics Secur. 18: 2060-2075 (2023) - [j19]Francisco Raimundo Albuquerque Parente, Flávio du Pin Calmon, José Cândido Silveira Santos Filho:
Unified Framework for Diversity and Coding Gains Over a Broad Gaussian Class of Fading Channels. IEEE Trans. Veh. Technol. 72(12): 15916-15929 (2023) - [c65]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF 2023 - [c64]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT 2023: 1609-1623 - [c63]Wael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
The Saddle-Point Method in Differential Privacy. ICML 2023: 508-528 - [c62]Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li:
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. IROS 2023: 10028-10035 - [c61]Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz:
On the Inevitability of the Rashomon Effect. ISIT 2023: 549-554 - [c60]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar:
Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. ISIT 2023: 2195-2200 - [c59]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar:
Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. ISIT 2023: 2201-2206 - [c58]Viveck R. Cadambe, Haewon Jeong, Flávio P. Calmon:
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. ISIT 2023: 2207-2212 - [c57]Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon:
Individual Arbitrariness and Group Fairness. NeurIPS 2023 - [c56]Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon:
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions. NeurIPS 2023 - [i63]Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon:
Aleatoric and Epistemic Discrimination in Classification. CoRR abs/2301.11781 (2023) - [i62]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR abs/2302.14517 (2023) - [i61]Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li:
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. CoRR abs/2303.05694 (2023) - [i60]Raymond Feng, Flávio P. Calmon, Hao Wang:
Adapting Fairness Interventions to Missing Values. CoRR abs/2305.19429 (2023) - [i59]Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon:
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. CoRR abs/2306.09425 (2023) - [i58]Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Hima Lakkaraju:
Fair Machine Unlearning: Data Removal while Mitigating Disparities. CoRR abs/2307.14754 (2023) - [i57]Viveck R. Cadambe, Ateet Devulapalli, Haewon Jeong, Flávio P. Calmon:
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. CoRR abs/2309.16105 (2023) - [i56]Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami:
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. CoRR abs/2312.03867 (2023) - 2022
- [j18]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Generalizing Correspondence Analysis for Applications in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9347-9362 (2022) - [c55]Haewon Jeong, Hao Wang, Flávio P. Calmon:
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. AAAI 2022: 9558-9566 - [c54]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei:
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. ISIT 2022: 1838-1843 - [c53]Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong:
Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits. ISIT 2022: 2016-2021 - [c52]Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon:
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS 2022 - [c51]Hsiang Hsu, Flávio P. Calmon:
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification. NeurIPS 2022 - [c50]Lucas Monteiro Paes, Carol Xuan Long, Berk Ustun, Flávio P. Calmon:
On the Epistemic Limits of Personalized Prediction. NeurIPS 2022 - [i55]Hsiang Hsu, Flávio du Pin Calmon:
Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification. CoRR abs/2206.01295 (2022) - [i54]Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon:
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR abs/2206.07801 (2022) - [i53]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei:
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. CoRR abs/2207.00420 (2022) - [i52]Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility. CoRR abs/2207.04895 (2022) - [i51]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei:
The Saddle-Point Accountant for Differential Privacy. CoRR abs/2208.09595 (2022) - [i50]Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, Flávio P. Calmon:
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks. CoRR abs/2209.08423 (2022) - 2021
- [j17]Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon:
Optimized Score Transformation for Consistent Fair Classification. J. Mach. Learn. Res. 22: 258:1-258:78 (2021) - [j16]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE J. Sel. Areas Inf. Theory 2(1): 208-222 (2021) - [j15]Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon:
ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication. IEEE J. Sel. Areas Inf. Theory 2(3): 845-854 (2021) - [j14]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
To Split or not to Split: The Impact of Disparate Treatment in Classification. IEEE Trans. Inf. Theory 67(10): 6733-6757 (2021) - [c49]Madeleine Barowsky, Alexander Mariona, Flávio P. Calmon:
Predictive Coding for Lossless Dataset Compression. ICASSP 2021: 1545-1549 - [c48]Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation. ICASSP 2021: 2635-2639 - [c47]Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon:
CPR: Classifier-Projection Regularization for Continual Learning. ICLR 2021 - [c46]Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür:
Differentially Private Federated Learning: An Information-Theoretic Perspective. ISIT 2021: 344-349 - [c45]Wael Alghamdi, Flávio P. Calmon:
Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. ISIT 2021: 420-425 - [c44]Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon:
Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. ISIT 2021: 545-550 - [c43]Viveck R. Cadambe, Flávio P. Calmon, Ateet Devulapalli, Haewon Jeong:
E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. ISIT 2021: 1582-1587 - [c42]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
The Impact of Split Classifiers on Group Fairness. ISIT 2021: 3179-3184 - [c41]Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon:
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels. NeurIPS 2021: 24222-24234 - [i49]Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon:
Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence. CoRR abs/2102.01258 (2021) - [i48]Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon:
Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. CoRR abs/2102.02976 (2021) - [i47]Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation. CoRR abs/2102.04274 (2021) - [i46]Wael Alghamdi, Flávio P. Calmon:
Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. CoRR abs/2102.05970 (2021) - [i45]Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon:
ε-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. CoRR abs/2105.01973 (2021) - [i44]Wael Alghamdi, Flávio P. Calmon:
Measuring Information from Moments. CoRR abs/2109.00649 (2021) - [i43]Haewon Jeong, Hao Wang, Flávio P. Calmon:
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. CoRR abs/2109.10431 (2021) - 2020
- [j13]Shahab Asoodeh, Flávio P. Calmon:
Bottleneck Problems: An Information and Estimation-Theoretic View. Entropy 22(11): 1325 (2020) - [j12]Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar:
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. IEEE Trans. Inf. Theory 66(4): 1949-1978 (2020) - [c40]Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon:
Obfuscation via Information Density Estimation. AISTATS 2020: 906-917 - [c39]Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon:
Optimized Score Transformation for Fair Classification. AISTATS 2020: 1673-1683 - [c38]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Maximal α-Leakage and its Properties. CNS 2020: 1-6 - [c37]Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. ICASSP 2020: 2797-2801 - [c36]Francisco Raimundo Albuquerque Parente, Flávio du Pin Calmon, José Cândido Silveira Santos Filho:
High-SNR Performance in Gaussian-Class Fading. ICC 2020: 1-7 - [c35]Charles T. Marx, Flávio P. Calmon, Berk Ustun:
Predictive Multiplicity in Classification. ICML 2020: 6765-6774 - [c34]Shahab Asoodeh, Mario Díaz, Flávio P. Calmon:
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. ISIT 2020: 896-901 - [c33]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. ISIT 2020: 920-925 - [c32]Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy:
Model Projection: Theory and Applications to Fair Machine Learning. ISIT 2020: 2711-2716 - [c31]Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
On Perfect Obfuscation: Local Information Geometry Analysis. WIFS 2020: 1-6 - [i42]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. CoRR abs/2001.05990 (2020) - [i41]Shahab Asoodeh, Mario Díaz, Flávio P. Calmon:
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. CoRR abs/2001.06546 (2020) - [i40]Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups. CoRR abs/2002.01469 (2020) - [i39]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR abs/2002.04788 (2020) - [i38]Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon:
CPR: Classifier-Projection Regularization for Continual Learning. CoRR abs/2006.07326 (2020) - [i37]Parastoo Sadeghi, Shahab Asoodeh, Flávio du Pin Calmon:
Differentially Private Mechanisms for Count Queries. CoRR abs/2007.09374 (2020) - [i36]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
Three Variants of Differential Privacy: Lossless Conversion and Applications. CoRR abs/2008.06529 (2020) - [i35]Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
On Perfect Obfuscation: Local Information Geometry Analysis. CoRR abs/2009.04157 (2020) - [i34]Shahab Asoodeh, Flávio P. Calmon:
Bottleneck Problems: Information and Estimation-Theoretic View. CoRR abs/2011.06208 (2020) - [i33]Shahab Asoodeh, Mario Díaz, Flávio P. Calmon:
Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. CoRR abs/2012.11035 (2020)
2010 – 2019
- 2019
- [j11]Hao Wang, Lisa Vo, Flávio P. Calmon, Muriel Médard, Ken R. Duffy, Mayank Varia:
Privacy With Estimation Guarantees. IEEE Trans. Inf. Theory 65(12): 8025-8042 (2019) - [j10]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon:
Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. IEEE Trans. Inf. Theory 65(12): 8043-8066 (2019) - [c30]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Correspondence Analysis Using Neural Networks. AISTATS 2019: 2671-2680 - [c29]Hao Wang, Berk Ustun, Flávio P. Calmon:
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. ICML 2019: 6618-6627 - [c28]Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon:
Information-Theoretic Privacy Watchdogs. ISIT 2019: 552-556 - [c27]Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon:
An Information-Theoretic View of Generalization via Wasserstein Distance. ISIT 2019: 577-581 - [c26]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Robustness of Maximal α-Leakage to Side Information. ISIT 2019: 642-646 - [c25]Wael Alghamdi, Flávio P. Calmon:
Mutual Information as a Function of Moments. ISIT 2019: 3122-3126 - [i32]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Robustness of Maximal α-Leakage to Side Information. CoRR abs/1901.07105 (2019) - [i31]Hao Wang, Berk Ustun, Flávio P. Calmon:
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. CoRR abs/1901.10501 (2019) - [i30]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Correspondence Analysis Using Neural Networks. CoRR abs/1902.07828 (2019) - [i29]Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio du Pin Calmon:
Optimized Score Transformation for Fair Classification. CoRR abs/1906.00066 (2019) - [i28]Charles T. Marx, Flávio du Pin Calmon, Berk Ustun:
Predictive Multiplicity in Classification. CoRR abs/1909.06677 (2019) - [i27]Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon:
Obfuscation via Information Density Estimation. CoRR abs/1910.08109 (2019) - 2018
- [j9]Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis. IEEE J. Sel. Top. Signal Process. 12(5): 1106-1119 (2018) - [j8]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio du Pin Calmon:
Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime. IEEE Trans. Inf. Forensics Secur. 13(4): 1058-1071 (2018) - [j7]Flávio du Pin Calmon, Yury Polyanskiy, Yihong Wu:
Strong Data Processing Inequalities for Input Constrained Additive Noise Channels. IEEE Trans. Inf. Theory 64(3): 1879-1892 (2018) - [c24]Hao Wang, Berk Ustun, Flávio P. Calmon:
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. ISIT 2018: 126-130 - [c23]Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon:
Generalizing Bottleneck Problems. ISIT 2018: 531-535 - [c22]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
A Tunable Measure for Information Leakage. ISIT 2018: 701-705 - [c21]Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar:
The Utility Cost of Robust Privacy Guarantees. ISIT 2018: 706-710 - [c20]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
Privacy Under Hard Distortion Constraints. ITW 2018: 1-5 - [i26]Hao Wang, Berk Ustun, Flávio P. Calmon:
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. CoRR abs/1801.05398 (2018) - [i25]Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar:
The Utility Cost of Robust Privacy Guarantees. CoRR abs/1801.05926 (2018) - [i24]Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon:
Generalizing Bottleneck Problems. CoRR abs/1802.05861 (2018) - [i23]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
Privacy Under Hard Distortion Constraints. CoRR abs/1806.00063 (2018) - [i22]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
A Tunable Measure for Information Leakage. CoRR abs/1806.03332 (2018) - [i21]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Deep Orthogonal Representations: Fundamental Properties and Applications. CoRR abs/1806.08449 (2018) - [i20]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon:
Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. CoRR abs/1809.09231 (2018) - [i19]Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar:
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. CoRR abs/1811.06057 (2018) - [i18]Hsiang Hsu, Flávio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian:
Correspondence Analysis of Government Expenditure Patterns. CoRR abs/1812.01105 (2018) - 2017
- [j6]Flávio du Pin Calmon, Ali Makhdoumi, Muriel Médard, Mayank Varia, Mark M. Christiansen, Ken R. Duffy:
Principal Inertia Components and Applications. IEEE Trans. Inf. Theory 63(8): 5011-5038 (2017) - [j5]Flávio du Pin Calmon, Álvaro Augusto Machado de Medeiros, Michel Daoud Yacoub:
Mutual Outage Probability. IEEE Trans. Wirel. Commun. 16(5): 3138-3150 (2017) - [c19]Hao Wang, Flávio P. Calmon:
An estimation-theoretic view of privacy. Allerton 2017: 886-893 - [c18]Jiachun Liao, Lalitha Sankar, Flávio P. Calmon, Vincent Y. F. Tan:
Hypothesis testing under maximal leakage privacy constraints. ISIT 2017: 779-783 - [c17]Flávio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
Optimized Pre-Processing for Discrimination Prevention. NIPS 2017: 3992-4001 - [i17]Jiachun Liao, Lalitha Sankar, Flávio du Pin Calmon, Vincent Yan Fu Tan:
Hypothesis Testing under Maximal Leakage Privacy Constraints. CoRR abs/1701.07099 (2017) - [i16]Flávio du Pin Calmon, Ali Makhdoumi, Muriel Médard, Mayank Varia, Mark M. Christiansen, Ken R. Duffy:
Principal Inertia Components and Applications. CoRR abs/1704.00820 (2017) - [i15]Flávio du Pin Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
Optimized Data Pre-Processing for Discrimination Prevention. CoRR abs/1704.03354 (2017) - [i14]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio du Pin Calmon:
Hypothesis Testing under Mutual Information Privacy Constraints in the High Privacy Regime. CoRR abs/1704.08347 (2017) - [i13]Hao Wang, Flávio du Pin Calmon:
An Estimation-Theoretic View of Privacy. CoRR abs/1710.00447 (2017) - 2016
- [c16]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon:
Hypothesis testing in the high privacy limit. Allerton 2016: 649-656 - [c15]Matthew Riemer, Aditya Vempaty, Flávio P. Calmon, Fenno F. Terry Heath III, Richard Hull, Elham Khabiri:
Correcting Forecasts with Multifactor Neural Attention. ICML 2016: 3010-3019 - [i12]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon:
Hypothesis Testing in the High Privacy Limit. CoRR abs/1607.00533 (2016) - 2015
- [b1]Flávio du Pin Calmon:
Information-theoretic metrics for security and privacy. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015 - [j4]Salman Salamatian, Amy Zhang, Flávio du Pin Calmon, Sandilya Bhamidipati, Nadia Fawaz, Branislav Kveton, Pedro Oliveira, Nina Taft:
Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy. IEEE J. Sel. Top. Signal Process. 9(7): 1240-1255 (2015) - [j3]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Multi-User Guesswork and Brute Force Security. IEEE Trans. Inf. Theory 61(12): 6876-6886 (2015) - [c14]Flávio P. Calmon, Ali Makhdoumi, Muriel Médard:
Fundamental limits of perfect privacy. ISIT 2015: 1796-1800 - [c13]Flávio P. Calmon, Yury Polyanskiy, Yihong Wu:
Strong data processing inequalities in power-constrained Gaussian channels. ISIT 2015: 2558-2562 - [c12]Ali Makhdoumi, Flávio P. Calmon, Muriel Médard:
Forgot your password: Correlation dilution. ISIT 2015: 2944-2948 - [i11]Flávio du Pin Calmon, Muriel Médard, Mayank Varia, Ken R. Duffy, Mark M. Christiansen, Linda M. Zeger:
Hiding Symbols and Functions: New Metrics and Constructions for Information-Theoretic Security. CoRR abs/1503.08513 (2015) - [i10]Flávio P. Calmon, Yury Polyanskiy, Yihong Wu:
Strong Data Processing Inequalities for Input Constrained Additive Noise Channels. CoRR abs/1512.06429 (2015) - 2014
- [c11]Flávio P. Calmon, Mayank Varia, Muriel Médard:
On information-theoretic metrics for symmetric-key encryption and privacy. Allerton 2014: 889-894 - [c10]Flávio P. Calmon, Mayank Varia, Muriel Médard:
An exploration of the role of principal inertia components in information theory. ITW 2014: 252-256 - [i9]Flávio du Pin Calmon, Mayank Varia, Muriel Médard:
An Exploration of the Role of Principal Inertia Components in Information Theory. CoRR abs/1405.1472 (2014) - [i8]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Quantifying the computational security of multi-user systems. CoRR abs/1405.5024 (2014) - [i7]Salman Salamatian, Amy Zhang, Flávio du Pin Calmon, Sandilya Bhamidipati, Nadia Fawaz, Branislav Kveton, Pedro Oliveira, Nina Taft:
Managing your Private and Public Data: Bringing down Inference Attacks against your Privacy. CoRR abs/1408.3698 (2014) - 2013
- [c9]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Guessing a password over a wireless channel (on the effect of noise non-uniformity). ACSSC 2013: 51-55 - [c8]Flávio P. Calmon, Mayank Varia, Muriel Médard, Mark M. Christiansen, Ken R. Duffy, Stefano Tessaro:
Bounds on inference. Allerton 2013: 567-574 - [c7]Salman Salamatian, Amy Zhang, Flávio du Pin Calmon, Sandilya Bhamidipati, Nadia Fawaz, Branislav Kveton, Pedro Oliveira, Nina Taft:
How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data. GlobalSIP 2013: 269-272 - [c6]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Brute force searching, the typical set and Guesswork. ISIT 2013: 1257-1261 - [c5]Jason Cloud, Flávio du Pin Calmon, Weifei Zeng, Giovanni Pau, Linda M. Zeger, Muriel Médard:
Multi-Path TCP with Network Coding for Mobile Devices in Heterogeneous Networks. VTC Fall 2013: 1-5 - [i6]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Brute force searching, the typical set and Guesswork. CoRR abs/1301.6356 (2013) - [i5]Jason Cloud, Flávio du Pin Calmon, Weifei Zeng, Giovanni Pau, Linda Zeger, Muriel Médard:
Multi-Path TCP with Network Coding for Mobile Devices in Heterogeneous Networks. CoRR abs/1306.2249 (2013) - [i4]Flávio du Pin Calmon, Mayank Varia, Muriel Médard, Mark M. Christiansen, Ken R. Duffy, Stefano Tessaro:
Bounds on inference. CoRR abs/1310.1512 (2013) - [i3]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Guessing a password over a wireless channel (on the effect of noise non-uniformity). CoRR abs/1311.1053 (2013) - 2012
- [j2]Arman Rezaee, Flávio du Pin Calmon, Linda M. Zeger, Muriel Médard:
Speeding Multicast by Acknowledgment Reduction Technique (SMART) Enabling Robustness of QoE to the Number of Users. IEEE J. Sel. Areas Commun. 30(7): 1270-1280 (2012) - [c4]Flávio du Pin Calmon, Muriel Médard, Linda M. Zeger, João Barros, Mark M. Christiansen, Ken R. Duffy:
Lists that are smaller than their parts: A coding approach to tunable secrecy. Allerton Conference 2012: 1387-1394 - [c3]Flávio du Pin Calmon, Nadia Fawaz:
Privacy against statistical inference. Allerton Conference 2012: 1401-1408 - [i2]Flávio du Pin Calmon, Nadia Fawaz:
Privacy Against Statistical Inference. CoRR abs/1210.2123 (2012) - [i1]Flávio du Pin Calmon, Muriel Médard, Linda M. Zeger, João Barros, Mark M. Christiansen, Ken R. Duffy:
Lists that are smaller than their parts: A coding approach to tunable secrecy. CoRR abs/1210.2126 (2012) - 2011
- [c2]Flávio du Pin Calmon, Muriel Médard, Michelle Effros:
Equivalent models for multi-terminal channels. ITW 2011: 370-374
2000 – 2009
- 2009
- [j1]Flávio du Pin Calmon, Michel Daoud Yacoub:
MRCS -- selecting maximal ratio combined signals: a practical hybrid diversity combining scheme. IEEE Trans. Wirel. Commun. 8(7): 3425-3429 (2009) - 2008
- [c1]Flávio du Pin Calmon, Michel Daoud Yacoub:
A General Exact Formulation for the Outage Probability in Interference-Limited Systems. GLOBECOM 2008: 4303-4307
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-03-26 21:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
