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Sameer Wagh
Sameer Wagh
Devron; UC Berkeley; Princeton University
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
SecureNN: 3-Party Secure Computation for Neural Network Training
S Wagh, D Gupta, N Chandran
Proceedings on Privacy Enhancing Technologies 2019 (3), 26-49, 2019
338*2019
Falcon: Honest-majority maliciously secure framework for private deep learning
S Wagh, S Tople, F Benhamouda, E Kushilevitz, P Mittal, T Rabin
Proceedings on Privacy Enhancing Technologies 2021 (1), 188-208, 2021
1092021
Differentially Private Oblivious RAM
S Wagh, P Cuff, P Mittal
Proceedings on Privacy Enhancing Technologies 2018 (4), 64-84, 2018
42*2018
Towards probabilistic verification of machine unlearning
DM Sommer, L Song, S Wagh, P Mittal
arXiv preprint arXiv:2003.04247, 2020
412020
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning
H Chen, M Kim, I Razenshteyn, D Rotaru, Y Song, S Wagh
International Conference on the Theory and Application of Cryptology and†…, 2020
292020
Camouflage: Memory traffic shaping to mitigate timing attacks
Y Zhou, S Wagh, P Mittal, D Wentzlaff
2017 IEEE International Symposium on High Performance Computer Architecture†…, 2017
282017
DP-Cryptography: Marrying differential privacy and cryptography in emerging applications
S Wagh, X He, A Machanavajjhala, P Mittal
Communications of the ACM (CACM), 2021
272021
Rabbit: Efficient Comparison for Secure Multi-Party Computation
E Makri, D Rotaru, F Vercauteren, S Wagh
International Conference on Financial Cryptography and Data Security, 249-270, 2021
202021
Guard placement attacks on path selection algorithms for Tor
G Wan, A Johnson, R Wails, S Wagh, P Mittal
Proceedings on Privacy Enhancing Technologies 2019 (4), 2019
192019
DPSelect: a differential privacy based guard relay selection algorithm for Tor
H Hanley, Y Sun, S Wagh, P Mittal
Proceedings on Privacy Enhancing Technologies 2019 (2), 2019
132019
The pyramid scheme: Oblivious RAM for trusted processors
M Costa, L Esswood, O Ohrimenko, F Schuster, S Wagh
arXiv preprint arXiv:1712.07882, 2017
102017
Piranha: A {GPU} Platform for Secure Computation
JL Watson, S Wagh, RA Popa
31st USENIX Security Symposium (USENIX Security 22), 827-844, 2022
72022
New Directions in Efficient Privacy-Preserving Machine Learning
S Wagh
Princeton University, 2020
52020
A Unified Framework of Homomorphic Encryption for Multiple Parties with Non-Interactive Setup
H Kwak, D Lee, Y Song, S Wagh
Cryptology ePrint Archive, 2021
32021
Tunable oblivious RAM
S Wagh, P Cuff, P Mittal
US Patent 10,229,068, 2019
32019
BarnOwl: Secure Comparisons using Silent Pseudorandom Correlation Generators
S Wagh
Cryptology ePrint Archive, 2022
22022
Private deep neural network training
S Wagh, N Chandran, D Gupta
US Patent App. 15/917,091, 2019
2*2019
Athena: Probabilistic Verification of Machine Unlearning
DM Sommer, L Song, S Wagh, P Mittal
Proceedings on Privacy Enhancing Technologies 3, 268-290, 2022
12022
Pika: Secure Computation using Function Secret Sharing over Rings
S Wagh
Cryptology ePrint Archive, 2022
12022
Private Movie Recommendations for Children
A Pham, M Samragh, S Wagh, E Wenger
Protecting Privacy through Homomorphic Encryption, 163-167, 2021
2021
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