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2020 – today
- 2024
[c6]Hyesun Kwak, Dongwon Lee, Yongsoo Song, Sameer Wagh:
A General Framework of Homomorphic Encryption for Multiple Parties with Non-interactive Key-Aggregation. ACNS (2) 2024: 403-430- 2023
- [c5]Mayank Rathee, Conghao Shen, Sameer Wagh, Raluca Ada Popa
:
ELSA: Secure Aggregation for Federated Learning with Malicious Actors. SP 2023: 1961-1979 - 2022
- [j8]David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal:
Athena: Probabilistic Verification of Machine Unlearning. Proc. Priv. Enhancing Technol. 2022(3): 268-290 (2022) - [j7]Sameer Wagh:
Pika: Secure Computation using Function Secret Sharing over Rings. Proc. Priv. Enhancing Technol. 2022(4): 351-377 (2022) - [c4]Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa:
Piranha: A GPU Platform for Secure Computation. USENIX Security Symposium 2022: 827-844 - [i13]Sameer Wagh:
BarnOwl: Secure Comparisons using Silent Pseudorandom Correlation Generators. IACR Cryptol. ePrint Arch. 2022: 800 (2022) - [i12]Sameer Wagh:
Pika: Secure Computation using Function Secret Sharing over Rings. IACR Cryptol. ePrint Arch. 2022: 826 (2022) - [i11]Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa:
Piranha: A GPU Platform for Secure Computation. IACR Cryptol. ePrint Arch. 2022: 892 (2022) - [i10]Mayank Rathee, Conghao Shen, Sameer Wagh, Raluca Ada Popa:
ELSA: Secure Aggregation for Federated Learning with Malicious Actors. IACR Cryptol. ePrint Arch. 2022: 1695 (2022) - 2021
- [j6]Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal:
DP-cryptography: marrying differential privacy and cryptography in emerging applications. Commun. ACM 64(2): 84-93 (2021) - [j5]Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin:
Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning. Proc. Priv. Enhancing Technol. 2021(1): 188-208 (2021) - [c3]Eleftheria Makri, Dragos Rotaru, Frederik Vercauteren, Sameer Wagh:
Rabbit: Efficient Comparison for Secure Multi-Party Computation. Financial Cryptography (1) 2021: 249-270 - [i9]Eleftheria Makri, Dragos Rotaru, Frederik Vercauteren, Sameer Wagh:
Rabbit: Efficient Comparison for Secure Multi-Party Computation. IACR Cryptol. ePrint Arch. 2021: 119 (2021) - [i8]Hyesun Kwak, Dongwon Lee, Yongsoo Song, Sameer Wagh:
A Unified Framework of Homomorphic Encryption for Multiple Parties with Non-Interactive Setup. IACR Cryptol. ePrint Arch. 2021: 1412 (2021) - 2020
- [b1]Sameer Wagh:
New Directions in Efficient Privacy-Preserving Machine Learning. Princeton University, USA, 2020 - [c2]Hao Chen, Miran Kim, Ilya P. Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh:
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning. ASIACRYPT (3) 2020: 31-59 - [i7]David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal:
Towards Probabilistic Verification of Machine Unlearning. CoRR abs/2003.04247 (2020) - [i6]Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin:
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning. CoRR abs/2004.02229 (2020) - [i5]Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal:
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications. CoRR abs/2004.08887 (2020) - [i4]Hao Chen, Miran Kim, Ilya P. Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh:
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning. IACR Cryptol. ePrint Arch. 2020: 451 (2020)
2010 – 2019
- 2019
- [j4]Hans Hanley, Yixin Sun, Sameer Wagh, Prateek Mittal:
DPSelect: A Differential Privacy Based Guard Relay Selection Algorithm for Tor. Proc. Priv. Enhancing Technol. 2019(2): 166-186 (2019) - [j3]Sameer Wagh, Divya Gupta, Nishanth Chandran:
SecureNN: 3-Party Secure Computation for Neural Network Training. Proc. Priv. Enhancing Technol. 2019(3): 26-49 (2019) - [j2]Gerry Wan, Aaron Johnson, Ryan Wails, Sameer Wagh, Prateek Mittal:
Guard Placement Attacks on Path Selection Algorithms for Tor. Proc. Priv. Enhancing Technol. 2019(4): 272-291 (2019) - 2018
- [j1]Sameer Wagh, Paul Cuff, Prateek Mittal:
Differentially Private Oblivious RAM. Proc. Priv. Enhancing Technol. 2018(4): 64-84 (2018) - [i3]Sameer Wagh, Divya Gupta, Nishanth Chandran:
SecureNN: Efficient and Private Neural Network Training. IACR Cryptol. ePrint Arch. 2018: 442 (2018) - 2017
- [c1]Yanqi Zhou, Sameer Wagh, Prateek Mittal, David Wentzlaff:
Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks. HPCA 2017: 337-348 - [i2]Manuel Costa, Lawrence Esswood, Olga Ohrimenko, Felix Schuster, Sameer Wagh:
The Pyramid Scheme: Oblivious RAM for Trusted Processors. CoRR abs/1712.07882 (2017) - 2016
- [i1]Sameer Wagh, Paul Cuff, Prateek Mittal:
Root ORAM: A Tunable Differentially Private Oblivious RAM. CoRR abs/1601.03378 (2016)
Coauthor Index
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