Sameer Wagh
Sameer Wagh
Princeton University; UC Berkeley
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
126*2019
Differentially Private Oblivious RAM
S Wagh, P Cuff, P Mittal
Proceedings on Privacy Enhancing Technologies 2018 (4), 64-84, 2018
28*2018
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
192017
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
102021
Towards probabilistic verification of machine unlearning
DM Sommer, L Song, S Wagh, P Mittal
arXiv preprint arXiv:2003.04247, 2020
82020
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), 272-291, 2019
82019
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), 166-186, 2019
82019
The pyramid scheme: Oblivious RAM for trusted processors
M Costa, L Esswood, O Ohrimenko, F Schuster, S Wagh
arXiv preprint arXiv:1712.07882, 2017
82017
DP-Cryptography: marrying differential privacy and cryptography in emerging applications
S Wagh, X He, A Machanavajjhala, P Mittal
arXiv preprint arXiv:2004.08887, 2020
32020
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning
H Chen, M Kim, I Razenshteyn, D Rotaru, Y Song, S Wagh
32020
New Directions in Efficient Privacy-Preserving Machine Learning
S Wagh
Princeton University, 2020
12020
DP-cryptography: marrying differential privacy and cryptography in emerging applications
S Wagh, X He, A Machanavajjhala, P Mittal
Communications of the ACM 64 (2), 84-93, 2021
2021
Private deep neural network training
S Wagh, N Chandran, D Gupta
US Patent App. 15/917,091, 2019
2019
Tunable oblivious RAM
S Wagh, P Cuff, P Mittal
US Patent 10,229,068, 2019
2019
Rabbit: Efficient Comparison for Secure Multi-Party Computation
E Makri, D Rotaru, F Vercauteren, S Wagh
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Articles 1–15