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ORCIDAlbert Cheu
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2020 – today
- 2024
[i16]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:
Confidential Federated Computations. CoRR abs/2404.10764 (2024)- [i15]Christopher Bian, Albert Cheu, Yannis Guzman, Marco Gruteser, Peter Kairouz, Ryan McKenna, Edo Roth:
Releasing Large-Scale Human Mobility Histograms with Differential Privacy. CoRR abs/2407.03496 (2024) - [i14]Laasya Bangalore, Albert Cheu, Muthuramakrishnan Venkitasubramaniam:
PRIME: Differentially Private Distributed Mean Estimation with Malicious Security. IACR Cryptol. ePrint Arch. 2024: 1771 (2024) - 2023
- [c10]Albert Cheu, Chao Yan:
Necessary Conditions in Multi-Server Differential Privacy. ITCS 2023: 36:1-36:21 - 2022
- [c9]Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng:
Shuffle Private Stochastic Convex Optimization. ICLR 2022 - [c8]Albert Cheu, Maxim Zhilyaev:
Differentially Private Histograms in the Shuffle Model from Fake Users. SP 2022: 440-457 - [i13]Albert Cheu, Chao Yan:
Necessary Conditions in Multi-Server Differential Privacy. CoRR abs/2208.08540 (2022) - 2021
- [j1]Albert Cheu, Adam D. Smith, Jonathan R. Ullman:
Manipulation Attacks in Local Differential Privacy. J. Priv. Confidentiality 11(1) (2021) - [c7]Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao:
Connecting Robust Shuffle Privacy and Pan-Privacy. SODA 2021: 2384-2403 - [c6]Albert Cheu, Adam D. Smith, Jonathan R. Ullman:
Manipulation Attacks in Local Differential Privacy. SP 2021: 883-900 - [c5]Albert Cheu, Jonathan R. Ullman:
The limits of pan privacy and shuffle privacy for learning and estimation. STOC 2021: 1081-1094 - [i12]Albert Cheu, Maxim Zhilyaev:
Differentially Private Histograms in the Shuffle Model from Fake Users. CoRR abs/2104.02739 (2021) - [i11]Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng:
Shuffle Private Stochastic Convex Optimization. CoRR abs/2106.09805 (2021) - [i10]Albert Cheu:
Differential Privacy in the Shuffle Model: A Survey of Separations. CoRR abs/2107.11839 (2021) - [i9]Albert Cheu, Chao Yan:
Pure Differential Privacy from Secure Intermediaries. CoRR abs/2112.10032 (2021) - 2020
- [c4]Victor Balcer, Albert Cheu:
Separating Local & Shuffled Differential Privacy via Histograms. ITC 2020: 1:1-1:14 - [c3]Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu
:
Private Query Release Assisted by Public Data. ICML 2020: 695-703 - [i8]Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao:
Connecting Robust Shuffle Privacy and Pan-Privacy. CoRR abs/2004.09481 (2020) - [i7]Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu:
Private Query Release Assisted by Public Data. CoRR abs/2004.10941 (2020) - [i6]Albert Cheu, Jonathan R. Ullman:
The Limits of Pan Privacy and Shuffle Privacy for Learning and Estimation. CoRR abs/2009.08000 (2020)
2010 – 2019
- 2019
- [c2]Albert Cheu, Adam D. Smith, Jonathan R. Ullman, David Zeber, Maxim Zhilyaev:
Distributed Differential Privacy via Shuffling. EUROCRYPT (1) 2019: 375-403 - [i5]Albert Cheu, Adam D. Smith, Jonathan R. Ullman:
Manipulation Attacks in Local Differential Privacy. CoRR abs/1909.09630 (2019) - [i4]Victor Balcer, Albert Cheu:
Separating Local & Shuffled Differential Privacy via Histograms. CoRR abs/1911.06879 (2019) - [i3]Albert Cheu, Adam D. Smith, Jonathan R. Ullman, David Zeber, Maxim Zhilyaev:
Distributed Differential Privacy via Shuffling. IACR Cryptol. ePrint Arch. 2019: 245 (2019) - 2018
- [c1]Albert Cheu, Ravi Sundaram, Jonathan R. Ullman:
Skyline Identification in Multi-Arm Bandits. ISIT 2018: 1006-1010 - [i2]Albert Cheu, Adam D. Smith, Jonathan R. Ullman, David Zeber, Maxim Zhilyaev:
Distributed Differential Privacy via Mixnets. CoRR abs/1808.01394 (2018) - 2017
- [i1]Albert Cheu, Ravi Sundaram, Jonathan R. Ullman:
Skyline Identification in Multi-Armed Bandits. CoRR abs/1711.04213 (2017)
Coauthor Index
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