Moshe Shenfeld

According to our database, Moshe Shenfeld authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches.

Omri Lev, Vishwak Srinivasan, Moshe Shenfeld, Katrina Ligett, Ayush Sekhari, Ashia C. Wilson

CoRR, May, 2025

How Well Can Differential Privacy Be Audited in One Run?

Amit Keinan, Moshe Shenfeld, Katrina Ligett

CoRR, March, 2025

Privacy amplification by random allocation.

Vitaly Feldman, Moshe Shenfeld

CoRR, February, 2025

2023

Generalization in the Face of Adaptivity: A Bayesian Perspective.

Moshe Shenfeld, Katrina Ligett

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

A new analysis of differential privacy's generalization guarantees (invited paper).

Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

2020

A New Analysis of Differential Privacy's Generalization Guarantees.

Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld

Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

2019

A Necessary and Sufficient Stability Notion for Adaptive Generalization.

Moshe Shenfeld, Katrina Ligett

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019