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Harsh Chaudhari
Harsh Chaudhari
Northeastern University
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
Trident: Efficient 4pc framework for privacy preserving machine learning
H Chaudhari, R Rachuri, A Suresh
Network and Distributed System Security Symposium, 2020
2402020
FLASH: fast and robust framework for privacy-preserving machine learning
M Byali, H Chaudhari, A Patra, A Suresh
Privacy Enhancing Technologies Symposium, 2020
1672020
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
1512019
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
372023
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
202020
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
92024
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
9*2023
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
52024
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
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Articles 1–11