Trident: Efficient 4pc framework for privacy preserving machine learning H Chaudhari, R Rachuri, A Suresh Network and Distributed System Security Symposium, 2020 | 232 | 2020 |
FLASH: fast and robust framework for privacy-preserving machine learning M Byali, H Chaudhari, A Patra, A Suresh Privacy Enhancing Technologies Symposium, 2020 | 159 | 2020 |
ASTRA: high throughput 3pc over rings with application to secure prediction H Chaudhari, A Choudhury, A Patra, A Suresh Proceedings of the 2019 ACM SIGSAC Conference on Cloud Computing Security …, 2019 | 145 | 2019 |
SNAP: Efficient extraction of private properties with poisoning H Chaudhari, J Abascal, A Oprea, M Jagielski, F Tramer, J Ullman 2023 IEEE Symposium on Security and Privacy (SP), 400-417, 2023 | 34 | 2023 |
Data poisoning attacks against differentially private recommender systems S Wadhwa, S Agrawal, H Chaudhari, D Sharma, K Achan Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 20 | 2020 |
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning H Chaudhari, M Jagielski, A Oprea 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023 | 7* | 2023 |
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation H Chaudhari, G Severi, J Abascal, M Jagielski, CA Choquette-Choo, ... arXiv preprint arXiv:2405.20485, 2024 | 4 | 2024 |
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning H Chaudhari, G Severi, A Oprea, J Ullman ICLR 2024: The Twelfth International Conference on Learning Representations, 2024 | 3 | 2024 |
Greenwoods: A practical random forest framework for privacy preserving training and prediction H Chaudhari, P Rindal | 1 | |
UTrace: Poisoning Forensics for Private Collaborative Learning E Rose, H Lycklama, H Chaudhari, A Hithnawi, A Oprea arXiv preprint arXiv:2409.15126, 2024 | | 2024 |
Privacy Preserving Machine Learning via Multi-party Computation H Chaudhari | | 2020 |