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Sameer Wagh
Sameer Wagh
Head of Privacy, Devron Corporation
Verified email at devron.ai - Homepage
Title
Cited by
Cited by
Year
SecureNN: 3-Party Secure Computation for Neural Network Training.
S Wagh, D Gupta, N Chandran
Proc. Priv. Enhancing Technol. 2019 (3), 26-49, 2019
2812019
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
1532021
SecureNN: Efficient and private neural network training
S Wagh, D Gupta, N Chandran
Cryptology ePrint Archive, 2018
1152018
Towards probabilistic verification of machine unlearning
DM Sommer, L Song, S Wagh, P Mittal
arXiv preprint arXiv:2003.04247, 2020
422020
Maliciously secure matrix multiplication with applications to private deep learning
H Chen, M Kim, I Razenshteyn, D Rotaru, Y Song, S Wagh
Advances in Cryptology–ASIACRYPT 2020: 26th International Conference on the …, 2020
412020
Differentially private oblivious ram
S Wagh, P Cuff, P Mittal
Proceedings on Privacy Enhancing Technologies 2018 (4), 64-84, 2018
362018
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
332017
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
322021
: Efficient Comparison for Secure Multi-Party Computation
E Makri, D Rotaru, F Vercauteren, S Wagh
Financial Cryptography and Data Security: 25th International Conference, FC …, 2021
292021
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
202019
Piranha: A {GPU} Platform for Secure Computation
JL Watson, S Wagh, RA Popa
31st USENIX Security Symposium (USENIX Security 22), 827-844, 2022
162022
Root ORAM: A tunable differentially private oblivious RAM
S Wagh, P Cuff, P Mittal
162016
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
152019
The pyramid scheme: Oblivious RAM for trusted processors
M Costa, L Esswood, O Ohrimenko, F Schuster, S Wagh
arXiv preprint arXiv:1712.07882, 2017
142017
Private deep neural network training
N Chandran, D Gupta, S Wagh
US Patent 10,460,234, 2019
112019
Athena: Probabilistic verification of machine unlearning
DM Sommer, L Song, S Wagh, P Mittal
Proc. Privacy Enhancing Technol. 2022 (3), 268-290, 2022
62022
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
62021
ELSA: Secure Aggregation for Federated Learning with Malicious Actors
M Rathee, C Shen, S Wagh, RA Popa
Cryptology ePrint Archive, 2022
52022
New Directions in Efficient Privacy-Preserving Machine Learning
SN Wagh
Princeton University, 2020
52020
Tunable oblivious RAM
S Wagh, P Cuff, P Mittal
US Patent 10,229,068, 2019
42019
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