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ORCIDAmrita Roy Chowdhury 0001
Person information
- affiliation: University of Michigan, Ann Arbor, MI, USA
- affiliation (2022 - 2024): University of California San Diego, CA, USA
- affiliation (PhD 2021): University of Wisconsin-Madison, Madison, WI, USA
Other persons with the same name
- Amrita Roy Chowdhury 0002 — West Bengal University of Technology, Kolkata, India
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2020 – today
- 2025
[c19]Amrita Roy Chowdhury
, Jacob Imola, Kamalika Chaudhuri:
Robust Locally Differentially Private Graph Analysis. AsiaCCS 2025: 635-650- [c18]Amrita Roy Chowdhury, Zhifeng Kong, Kamalika Chaudhuri:
On the Reliability of Membership Inference Attacks. SaTML 2025: 534-549 - [i20]Amrita Roy Chowdhury, David Glukhov, Divyam Anshumaan, Prasad Chalasani, Nicolas Papernot, Somesh Jha, Mihir Bellare:
Prεεmpt: Sanitizing Sensitive Prompts for LLMs. CoRR abs/2504.05147 (2025) - [i19]Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh:
Differentially Private Quantiles with Smaller Error. CoRR abs/2505.13662 (2025) - [i18]Mushtari Sadia, Zhenning Yang, Yunming Xiao, Ang Chen, Amrita Roy Chowdhury:
SQUiD: Synthesizing Relational Databases from Unstructured Text. CoRR abs/2505.19025 (2025) - [i17]Neal Mangaokar, Ashish Hooda, Zhuohang Li, Bradley A. Malin, Kassem Fawaz, Somesh Jha, Atul Prakash, Amrita Roy Chowdhury:
What Really is a Member? Discrediting Membership Inference via Poisoning. CoRR abs/2506.06003 (2025) - [i16]Hannah Keller, Jacob Imola, Fabrizio Boninsegna, Rasmus Pagh, Amrita Roy Chowdhury:
Piquantϵ: Private Quantile Estimation in the Two-Server Model. CoRR abs/2509.14035 (2025) - [i15]Mushtari Sadia, Amrita Roy Chowdhury, Ang Chen:
A Case for Computing on Unstructured Data. CoRR abs/2509.14601 (2025) - [i14]James Bell-Clark, Adrià Gascón, Baiyu Li, Mariana Raykova, Amrita Roy Chowdhury:
Vεrity: Verifiable Local Differential Privacy. IACR Cryptol. ePrint Arch. 2025: 851 (2025) - 2024
- [c17]Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Metric Differential Privacy at the User-Level via the Earth-Mover's Distance. CCS 2024: 348-362 - [c16]Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri:
FairProof : Confidential and Certifiable Fairness for Neural Networks. ICML 2024 - [i13]Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri:
FairProof : Confidential and Certifiable Fairness for Neural Networks. CoRR abs/2402.12572 (2024) - [i12]Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Metric Differential Privacy at the User-Level. CoRR abs/2405.02665 (2024) - 2023
- [j1]Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6(1): 1-52 (2023) - [c15]Zhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury, Long Lu, Somesh Jha:
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks. SP 2023: 1596-1612 - [i11]Zhifeng Kong, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Can Membership Inferencing be Refuted? CoRR abs/2303.03648 (2023) - [i10]Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. CoRR abs/2308.14840 (2023) - 2022
- [c14]Zhifeng Kong, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Forgeability and Membership Inference Attacks. AISec@CCS 2022: 25-31 - [c13]Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou:
Strengthening Order Preserving Encryption with Differential Privacy. CCS 2022: 2519-2533 - [c12]Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten:
EIFFeL: Ensuring Integrity for Federated Learning. CCS 2022: 2535-2549 - [c11]Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha:
Privacy Implications of Shuffling. ICLR 2022 - [i9]Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Robustness of Locally Differentially Private Graph Analysis Against Poisoning. CoRR abs/2210.14376 (2022) - 2021
- [c10]Yunang Chen, Amrita Roy Chowdhury, Ruizhe Wang, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes:
Data Privacy in Trigger-Action Systems. SP 2021: 501-518 - [c9]Jingjie Li, Amrita Roy Chowdhury, Kassem Fawaz, Younghyun Kim:
Kalεido: Real-Time Privacy Control for Eye-Tracking Systems. USENIX Security Symposium 2021: 1793-1810 - [i8]Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha:
A Shuffling Framework for Local Differential Privacy. CoRR abs/2106.06603 (2021) - [i7]Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten:
EIFFeL: Ensuring Integrity for Federated Learning. CoRR abs/2112.12727 (2021) - 2020
- [c8]Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha:
Concise Explanations of Neural Networks using Adversarial Training. ICML 2020: 1383-1391 - [c7]Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha:
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models. ICML 2020: 1939-1951 - [c6]Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha:
Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers. SIGMOD Conference 2020: 603-619 - [c5]Shimaa Ahmed, Amrita Roy Chowdhury, Kassem Fawaz, Parmesh Ramanathan:
Preech: A System for Privacy-Preserving Speech Transcription. USENIX Security Symposium 2020: 2703-2720 - [i6]Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou:
Intertwining Order Preserving Encryption and Differential Privacy. CoRR abs/2009.05679 (2020) - [i5]Yunang Chen, Amrita Roy Chowdhury, Ruizhe Wang, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes:
Data Privacy in Trigger-Action IoT Systems. CoRR abs/2012.05749 (2020)
2010 – 2019
- 2019
- [i4]Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha:
Outis: Crypto-Assisted Differential Privacy on Untrusted Servers. CoRR abs/1902.07756 (2019) - [i3]Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha:
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models. CoRR abs/1905.12813 (2019) - [i2]Shimaa Ahmed, Amrita Roy Chowdhury, Kassem Fawaz, Parmesh Ramanathan:
Prεεch: A System for Privacy-Preserving Speech Transcription. CoRR abs/1909.04198 (2019) - 2018
- [c4]Amrita Roy Chowdhury, Parameswaran Ramanathan:
Public Order Preserving Cipher Generation Scheme for Distributed Computing. CCS 2018: 2273-2275 - [c3]Amrita Roy Chowdhury, Parameswaran Ramanathan:
PPU: Privacy-Aware Purchasing Unit for Residential Customers in Smart Electric Grids. VLSID 2018: 386-391 - [i1]Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Somesh Jha, Xi Wu:
Concise Explanations of Neural Networks using Adversarial Training. CoRR abs/1810.06583 (2018) - 2015
- [c2]Amrita Roy Chowdhury, Sipra Das Bit:
LMAC: A Lightweight Message Authentication Code for Wireless Sensor Network. GLOBECOM 2015: 1-6 - 2014
- [c1]Amrita Roy Chowdhury, Tanusree Chatterjee, Sipra Das Bit:
LOCHA: A Light-weight One-way Cryptographic Hash Algorithm for Wireless Sensor Network. ANT/SEIT 2014: 497-504
Coauthor Index
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