Root ORAM: A Tunable Differentially Private Oblivious RAM. - Sameer Wagh; Paul Cuff; Prateek Mittal (CoRR, 2016)

Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks. - Yanqi Zhou; Sameer Wagh; Prateek Mittal; David Wentzlaff (HPCA, 2017)

The Pyramid Scheme: Oblivious RAM for Trusted Processors. - Manuel Costa; Lawrence Esswood; Olga Ohrimenko; Felix Schuster; Sameer Wagh (CoRR, 2017)

SecureNN: Efficient and Private Neural Network Training. - Sameer Wagh; Divya Gupta 001; Nishanth Chandran (IACR Cryptol. ePrint Arch., 2018)

Differentially Private Oblivious RAM. - Sameer Wagh; Paul Cuff; Prateek Mittal (Proc. Priv. Enhancing Technol., 2018)

DPSelect: A Differential Privacy Based Guard Relay Selection Algorithm for Tor. - Hans Hanley; Yixin Sun; Sameer Wagh; Prateek Mittal (Proc. Priv. Enhancing Technol., 2019)

SecureNN: 3-Party Secure Computation for Neural Network Training. - Sameer Wagh; Divya Gupta 001; Nishanth Chandran (Proc. Priv. Enhancing Technol., 2019)

Guard Placement Attacks on Path Selection Algorithms for Tor. - Gerry Wan; Aaron Johnson 001; Ryan Wails; Sameer Wagh; Prateek Mittal (Proc. Priv. Enhancing Technol., 2019)

Towards Probabilistic Verification of Machine Unlearning. - David Marco Sommer; Liwei Song; Sameer Wagh; Prateek Mittal (CoRR, 2020)

Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning. - Hao Chen 030; Miran Kim; Ilya P. Razenshteyn; Dragos Rotaru; Yongsoo Song; Sameer Wagh (IACR Cryptol. ePrint Arch., 2020)

New Directions in Efficient Privacy-Preserving Machine Learning - Sameer Wagh (2020)

DP-cryptography: marrying differential privacy and cryptography in emerging applications. - Sameer Wagh; Xi He 001; Ashwin Machanavajjhala; Prateek Mittal (Commun. ACM, 2021)

A Unified Framework of Homomorphic Encryption for Multiple Parties with Non-Interactive Setup. - Hyesun Kwak; Dongwon Lee 010; Yongsoo Song; Sameer Wagh (IACR Cryptol. ePrint Arch., 2021)

Rabbit: Efficient Comparison for Secure Multi-Party Computation. - Eleftheria Makri; Dragos Rotaru; Frederik Vercauteren; Sameer Wagh (IACR Cryptol. ePrint Arch., 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)

ELSA: Secure Aggregation for Federated Learning with Malicious Actors. - Mayank Rathee; Conghao Shen; 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)

Piranha: A GPU Platform for Secure Computation. - Jean-Luc Watson; Sameer Wagh; Raluca Ada Popa (IACR Cryptol. ePrint Arch., 2022)

Athena: Probabilistic Verification of Machine Unlearning. - David Marco Sommer; Liwei Song; Sameer Wagh; Prateek Mittal (Proc. Priv. Enhancing Technol., 2022)

Pika: Secure Computation using Function Secret Sharing over Rings. - Sameer Wagh (Proc. Priv. Enhancing Technol., 2022)

A General Framework of Homomorphic Encryption for Multiple Parties with Non-interactive Key-Aggregation. - Hyesun Kwak; Dongwon Lee 010; Yongsoo Song; Sameer Wagh (ACNS (2), 2024)

Wave Hello to Privacy: Efficient Mixed-Mode MPC using Wavelet Transforms. - Jose Reis; Mehmet Ugurbil; Sameer Wagh; Ryan Henry; Miguel de Vega (Proc. Priv. Enhancing Technol., 2025)