Albert Cheu

According to our database, Albert Cheu authored at least 25 papers between 2017 and 2026.

Collaborative distances:

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

2026

Hardening Confidential Federated Compute against Side-channel Attacks.

James Bell-Clark, Albert Cheu, Adrià Gascón, Jonathan Katz

CoRR, March, 2026

SNPeek: Side-Channel Analysis for Privacy Applications on Confidential VMs.

Ruiyi Zhang, Albert Cheu, Adrià Gascón, Daniel Moghimi, Phillipp Schoppmann, Michael Schwarz, Octavian Suciu

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025

Toward provably private analytics and insights into GenAI use.

Albert Cheu, Artem Lagzdin, Brett McLarnon, Daniel Ramage, Katharine Daly, Marco Gruteser, Peter Kairouz, Rakshita Tandon, Stanislav Chiknavaryan, Timon Van Overveldt, Zoe Gong

CoRR, October, 2025

FARFETCH'D: A Side-Channel Analysis Framework for Privacy Applications on Confidential Virtual Machines.

Ruiyi Zhang, Albert Cheu, Adrià Gascón, Daniel Moghimi, Phillipp Schoppmann, Michael Schwarz, Octavian Suciu

CoRR, June, 2025

Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?

Marika Swanberg, Ryan McKenna, Edo Roth, Albert Cheu, Peter Kairouz

CoRR, February, 2025

Hash-Prune-Invert: Improved Differentially Private Heavy-Hitter Detection in the Two-Server Model.

Borja Balle, James Bell-Clark, Albert Cheu, Adrià Gascón, Jonathan Katz, Mariana Raykova, Phillipp Schoppmann, Thomas Steinke

Proceedings of the IEEE Symposium on Security and Privacy, 2025

Differentially Private Multi-Sampling from Distributions.

Albert Cheu, Debanuj Nayak

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

PRIME: Differentially Private Distributed Mean Estimation with Malicious Security.

Laasya Bangalore, Albert Cheu, Muthuramakrishnan Venkitasubramaniam

IACR Cryptol. ePrint Arch., 2024

Mayfly: Private Aggregate Insights from Ephemeral Streams of On-Device User Data.

Christopher Bian, Albert Cheu, Stanislav Chiknavaryan, Zoe Gong, Marco Gruteser, Oliver Guinan, Yannis Guzman, Peter Kairouz, Artem Lagzdin, Ryan McKenna, Grace Ni, Edo Roth, Maya Spivak, Timon Van Overveldt, Ren Yi

CoRR, 2024

Releasing Large-Scale Human Mobility Histograms with Differential Privacy.

Christopher Bian, Albert Cheu, Yannis Guzman, Marco Gruteser, Peter Kairouz, Ryan McKenna, Edo Roth

CoRR, 2024

Confidential Federated Computations.

Hubert Eichner, Daniel Ramage, Kallista A. Bonawitz, Dzmitry Huba, Tiziano Santoro, Brett McLarnon, Timon Van Overveldt, Nova Fallen, Peter Kairouz, Albert Cheu, Katharine Daly, Adrià Gascón, Marco Gruteser, Brendan McMahan

CoRR, 2024

2023

Necessary Conditions in Multi-Server Differential Privacy.

Albert Cheu, Chao Yan

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

2022

Differentially Private Histograms in the Shuffle Model from Fake Users.

Albert Cheu, Maxim Zhilyaev

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Shuffle Private Stochastic Convex Optimization.

Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Pure Differential Privacy from Secure Intermediaries.

Albert Cheu, Chao Yan

CoRR, 2021

Differential Privacy in the Shuffle Model: A Survey of Separations.

Albert Cheu

CoRR, 2021

The limits of pan privacy and shuffle privacy for learning and estimation.

Albert Cheu, Jonathan R. Ullman

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

Manipulation Attacks in Local Differential Privacy.

Albert Cheu, Adam D. Smith, Jonathan R. Ullman

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Connecting Robust Shuffle Privacy and Pan-Privacy.

Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

2020

Private Query Release Assisted by Public Data.

Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu

Proceedings of the 37th International Conference on Machine Learning, 2020

Separating Local & Shuffled Differential Privacy via Histograms.

Victor Balcer, Albert Cheu

Proceedings of the 1st Conference on Information-Theoretic Cryptography, 2020

2019

Distributed Differential Privacy via Shuffling.

Albert Cheu, Adam D. Smith, Jonathan R. Ullman, David Zeber, Maxim Zhilyaev

Proceedings of the Advances in Cryptology - EUROCRYPT 2019, 2019

2018

Distributed Differential Privacy via Mixnets.

Albert Cheu, Adam D. Smith, Jonathan R. Ullman, David Zeber, Maxim Zhilyaev

CoRR, 2018

Skyline Identification in Multi-Arm Bandits.

Albert Cheu, Ravi Sundaram, Jonathan R. Ullman

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Skyline Identification in Multi-Armed Bandits.

Albert Cheu, Ravi Sundaram, Jonathan R. Ullman

CoRR, 2017