Eliad Tsfadia

According to our database, Eliad Tsfadia authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

Data Reconstruction: When You See It and When You Don't.

Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer, Eliad Tsfadia

CoRR, 2024

On Differentially Private Subspace Estimation Without Distributional Assumptions.

Eliad Tsfadia

CoRR, 2024

Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes.

Naty Peter, Eliad Tsfadia, Jonathan R. Ullman

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Adaptive Data Analysis in a Balanced Adversarial Model.

Kobbi Nissim, Uri Stemmer, Eliad Tsfadia

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

2022

On Cryptographic Hardness, Differential Privacy, and the Interconnection Between Them

Eliad Tsfadia

PhD thesis, 2022

FriendlyCore: Practical Differentially Private Aggregation.

Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer

Proceedings of the International Conference on Machine Learning, 2022

2021

Highly Efficient OT-Based Multiplication Protocols.

Iftach Haitner, Nikolaos Makriyannis, Samuel Ranellucci, Eliad Tsfadia

IACR Cryptol. ePrint Arch., 2021

On the Complexity of Two-Party Differential Privacy.

Iftach Haitner, Noam Mazor, Jad Silbak, Eliad Tsfadia

Electron. Colloquium Comput. Complex., 2021

Length preserving compression: marrying encryption with compression.

Doron Chen, Michael Factor, Danny Harnik, Ronen I. Kat, Eliad Tsfadia

Proceedings of the SYSTOR '21: The 14th ACM International Systems and Storage Conference, 2021

Differentially-Private Clustering of Easy Instances.

Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity.

Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Tight Parallel Repetition Theorem for Partially Simulatable Interactive Arguments via Smooth KL-Divergence.

Itay Berman, Iftach Haitner, Eliad Tsfadia

Proceedings of the Advances in Cryptology - CRYPTO 2020, 2020

2019

A Tight Parallel-Repetition Theorem for Random-Terminating Interactive Arguments.

Itay Berman, Iftach Haitner, Eliad Tsfadia

Electron. Colloquium Comput. Complex., 2019

2018

It Takes Two to #MeToo - Using Enclaves to Build Autonomous Trusted Systems.

Danny Harnik, Paula Ta-Shma, Eliad Tsfadia

CoRR, 2018

Securing the Storage Data Path with SGX Enclaves.

Danny Harnik, Eliad Tsfadia, Doron Chen, Ronen I. Kat

CoRR, 2018

RestAssured: Securing Cloud Analytics.

Oshrit Feder, Gidon Gershinsky, Eliad Tsfadia

Proceedings of the 11th ACM International Systems and Storage Conference, 2018

2017

An Almost-Optimally Fair Three-Party Coin-Flipping Protocol.

Iftach Haitner, Eliad Tsfadia

SIAM J. Comput., 2017

Fair Coin Flipping: Tighter Analysis and the Many-Party Case.

Niv Buchbinder, Iftach Haitner, Nissan Levi, Eliad Tsfadia

Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017