• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 125 matches

• 2024
• 
  Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal:
  Not All Learnable Distribution Classes are Privately Learnable. CoRR abs/2402.00267 (2024)
• 
  Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu:
  Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors. CoRR abs/2402.12626 (2024)
• 2023
• 
  Yiwei Lu, Gautam Kamath, Yaoliang Yu:
  Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks. ICML 2023: 22856-22879
• 
  Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner:
  Distribution Learnability and Robustness. NeurIPS 2023
• 
  Shai Ben-David, Alex Bie, Clément L. Canonne, Gautam Kamath, Vikrant Singhal:
  Private Distribution Learning with Public Data: The View from Sample Compression. NeurIPS 2023
• 
  Jimmy Z. Di, Jack Douglas, Jayadev Acharya, Gautam Kamath, Ayush Sekhari:
  Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks. NeurIPS 2023
• 
  Samuel B. Hopkins, Gautam Kamath, Mahbod Majid, Shyam Narayanan:
  Robustness Implies Privacy in Statistical Estimation. STOC 2023: 497-506
• 
  Gautam Kamath, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman:
  A Bias-Variance-Privacy Trilemma for Statistical Estimation. CoRR abs/2301.13334 (2023)
• 
  Alex Bie, Gautam Kamath, Guojun Zhang:
  Private GANs, Revisited. CoRR abs/2302.02936 (2023)
• 
  Xin Gu, Gautam Kamath, Zhiwei Steven Wu:
  Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance. CoRR abs/2303.01256 (2023)
• 
  Yiwei Lu, Gautam Kamath, Yaoliang Yu:
  Exploring the Limits of Indiscriminate Data Poisoning Attacks. CoRR abs/2303.03592 (2023)
• 
  Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang:
  Challenges towards the Next Frontier in Privacy. CoRR abs/2304.06929 (2023)
• 
  Shai Ben-David, Alex Bie, Clément L. Canonne, Gautam Kamath, Vikrant Singhal:
  Private Distribution Learning with Public Data: The View from Sample Compression. CoRR abs/2308.06239 (2023)
• 
  A. Feder Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Christopher Callison-Burch, Christopher A. Choquette-Choo, Niloofar Mireshghallah, Miles Brundage, David Mimno, Madiha Zahrah Choksi, Jack M. Balkin, Nicholas Carlini, Christopher De Sa, Jonathan Frankle, Deep Ganguli, Bryant Gipson, Andres Guadamuz, Swee Leng Harris, Abigail Z. Jacobs, Elizabeth Joh, Gautam Kamath, Mark Lemley, Cass Matthews, Christine McLeavey, Corynne McSherry, Milad Nasr, Paul Ohm, Adam Roberts, Tom Rubin, Pamela Samuelson, Ludwig Schubert, Kristen Vaccaro, Luis Villa, Felix Wu, Elana Zeide:
  Report of the 1st Workshop on Generative AI and Law. CoRR abs/2311.06477 (2023)
• 2022
• 
  Clément L. Canonne, Gautam Kamath, Thomas Steinke:
  Discrete Gaussian for Differential Privacy. J. Priv. Confidentiality 12(1) (2022)
• 
  Gautam Kamath, Sepehr Assadi, Anne Driemel, Janardhan Kulkarni:
  Introduction to the Special Issue on ACM-SIAM Symposium on Discrete Algorithms (SODA) 2020. ACM Trans. Algorithms 18(4): 30:1-30:2 (2022)
• 
  Yiwei Lu, Gautam Kamath, Yaoliang Yu:
  Indiscriminate Data Poisoning Attacks on Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
• 
  Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar:
  The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. AAAI 2022: 7806-7813
• 
  Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang:
  Robust Estimation for Random Graphs. COLT 2022: 130-166
• 
  Clément L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li:
  The Price of Tolerance in Distribution Testing. COLT 2022: 573-624
• 
  Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman:
  A Private and Computationally-Efficient Estimator for Unbounded Gaussians. COLT 2022: 544-572
• 
  Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang:
  Differentially Private Fine-tuning of Language Models. ICLR 2022
• 
  Gautam Kamath, Xingtu Liu, Huanyu Zhang:
  Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data. ICML 2022: 10633-10660
• 
  Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah:
  Calibration with Privacy in Peer Review. ISIT 2022: 1635-1640
• 
  Gautam Kamath, Argyris Mouzakis, Vikrant Singhal:
  New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma. NeurIPS 2022
• 
  Alex Bie, Gautam Kamath, Vikrant Singhal:
  Private Estimation with Public Data. NeurIPS 2022
• 
  Samuel B. Hopkins, Gautam Kamath, Mahbod Majid:
  Efficient mean estimation with pure differential privacy via a sum-of-squares exponential mechanism. STOC 2022: 1406-1417
• 
  Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah:
  Calibration with Privacy in Peer Review. CoRR abs/2201.11308 (2022)
• 
  Yiwei Lu, Gautam Kamath, Yaoliang Yu:
  Indiscriminate Data Poisoning Attacks on Neural Networks. CoRR abs/2204.09092 (2022)
• 
  Gautam Kamath, Argyris Mouzakis, Vikrant Singhal:
  New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma. CoRR abs/2205.08532 (2022)

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