Sameer Wagh

According to our database, Sameer Wagh authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A General Framework of Homomorphic Encryption for Multiple Parties with Non-interactive Key-Aggregation.

Hyesun Kwak, Dongwon Lee, Yongsoo Song, Sameer Wagh

Proceedings of the Applied Cryptography and Network Security, 2024

2022

Pika: Secure Computation using Function Secret Sharing over Rings.

Sameer Wagh

Proc. Priv. Enhancing Technol., 2022

Athena: Probabilistic Verification of Machine Unlearning.

David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal

Proc. Priv. Enhancing Technol., 2022

Piranha: A GPU Platform for Secure Computation.

Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa

IACR Cryptol. ePrint Arch., 2022

BarnOwl: Secure Comparisons using Silent Pseudorandom Correlation Generators.

Sameer Wagh

IACR Cryptol. ePrint Arch., 2022

ELSA: Secure Aggregation for Federated Learning with Malicious Actors.

Mayank Rathee, Conghao Shen, Sameer Wagh, Raluca Ada Popa

IACR Cryptol. ePrint Arch., 2022

2021

Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning.

Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin

Proc. Priv. Enhancing Technol., 2021

Rabbit: Efficient Comparison for Secure Multi-Party Computation.

Eleftheria Makri, Dragos Rotaru, Frederik Vercauteren, Sameer Wagh

IACR Cryptol. ePrint Arch., 2021

A Unified Framework of Homomorphic Encryption for Multiple Parties with Non-Interactive Setup.

Hyesun Kwak, Dongwon Lee, Yongsoo Song, Sameer Wagh

IACR Cryptol. ePrint Arch., 2021

DP-cryptography: marrying differential privacy and cryptography in emerging applications.

Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal

Commun. ACM, 2021

2020

Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning.

Hao Chen, Miran Kim, Ilya P. Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh

IACR Cryptol. ePrint Arch., 2020

Towards Probabilistic Verification of Machine Unlearning.

David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal

CoRR, 2020

2019

Guard Placement Attacks on Path Selection Algorithms for Tor.

Gerry Wan, Aaron Johnson, Ryan Wails, Sameer Wagh, Prateek Mittal

Proc. Priv. Enhancing Technol., 2019

SecureNN: 3-Party Secure Computation for Neural Network Training.

Sameer Wagh, Divya Gupta, Nishanth Chandran

Proc. Priv. Enhancing Technol., 2019

DPSelect: A Differential Privacy Based Guard Relay Selection Algorithm for Tor.

Hans Hanley, Yixin Sun, Sameer Wagh, Prateek Mittal

Proc. Priv. Enhancing Technol., 2019

2018

Differentially Private Oblivious RAM.

Sameer Wagh, Paul Cuff, Prateek Mittal

Proc. Priv. Enhancing Technol., 2018

SecureNN: Efficient and Private Neural Network Training.

Sameer Wagh, Divya Gupta, Nishanth Chandran

IACR Cryptol. ePrint Arch., 2018

2017

The Pyramid Scheme: Oblivious RAM for Trusted Processors.

Manuel Costa, Lawrence Esswood, Olga Ohrimenko, Felix Schuster, Sameer Wagh

CoRR, 2017

Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks.

Yanqi Zhou, Sameer Wagh, Prateek Mittal, David Wentzlaff

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

2016

Root ORAM: A Tunable Differentially Private Oblivious RAM.

Sameer Wagh, Paul Cuff, Prateek Mittal

CoRR, 2016