Skyline Identification in Multi-Armed Bandits. - Albert Cheu; Ravi Sundaram; Jonathan R. Ullman (CoRR, 2017)

Skyline Identification in Multi-Arm Bandits. - Albert Cheu; Ravi Sundaram; Jonathan R. Ullman (ISIT, 2018)

Distributed Differential Privacy via Mixnets. - Albert Cheu; Adam D. Smith 001; Jonathan R. Ullman; David Zeber; Maxim Zhilyaev (CoRR, 2018)

Distributed Differential Privacy via Shuffling. - Albert Cheu; Adam D. Smith 001; Jonathan R. Ullman; David Zeber; Maxim Zhilyaev (IACR Cryptol. ePrint Arch., 2019)

Separating Local & Shuffled Differential Privacy via Histograms. - Victor Balcer; Albert Cheu (ITC, 2020)

Private Query Release Assisted by Public Data. - Raef Bassily; Albert Cheu; Shay Moran; Aleksandar Nikolov; Jonathan R. Ullman; Zhiwei Steven Wu (ICML, 2020)

Connecting Robust Shuffle Privacy and Pan-Privacy. - Victor Balcer; Albert Cheu; Matthew Joseph; Jieming Mao (SODA, 2021)

The limits of pan privacy and shuffle privacy for learning and estimation. - Albert Cheu; Jonathan R. Ullman (STOC, 2021)

Differential Privacy in the Shuffle Model: A Survey of Separations. - Albert Cheu (CoRR, 2021)

Pure Differential Privacy from Secure Intermediaries. - Albert Cheu; Chao Yan (CoRR, 2021)

Manipulation Attacks in Local Differential Privacy. - Albert Cheu; Adam D. Smith 001; Jonathan R. Ullman (J. Priv. Confidentiality, 2021)

Shuffle Private Stochastic Convex Optimization. - Albert Cheu; Matthew Joseph; Jieming Mao; Binghui Peng (ICLR, 2022)

Differentially Private Histograms in the Shuffle Model from Fake Users. - Albert Cheu; Maxim Zhilyaev (SP, 2022)

Necessary Conditions in Multi-Server Differential Privacy. - Albert Cheu; Chao Yan (ITCS, 2023)

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; et al. (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)

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; et al. (CoRR, 2024)

Hash-Prune-Invert: Improved Differentially Private Heavy-Hitter Detection in the Two-Server Model. - Borja Balle; James Bell 001; Albert Cheu; Adrià Gascón; Jonathan Katz; Mariana Raykova 001; Phillipp Schoppmann; Thomas Steinke 002 (IACR Cryptol. ePrint Arch., 2024)

PRIME: Differentially Private Distributed Mean Estimation with Malicious Security. - Laasya Bangalore; Albert Cheu; Muthuramakrishnan Venkitasubramaniam (IACR Cryptol. ePrint Arch., 2024)

Differentially Private Multi-Sampling from Distributions. - Albert Cheu; Debanuj Nayak (ALT, 2025)

Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? - Marika Swanberg; Ryan McKenna; Edo Roth; Albert Cheu; Peter Kairouz (CoRR, 2025)

FARFETCH'D: A Side-Channel Analysis Framework for Privacy Applications on Confidential Virtual Machines. - Ruiyi Zhang 001; Albert Cheu; Adrià Gascón; Daniel Moghimi; Phillipp Schoppmann; Michael Schwarz 001; Octavian Suciu (CoRR, 2025)