Approximating Aggregate Queries about Web Pages via Random Walks. - Ziv Bar-Yossef; Alexander C. Berg; Steve Chien; Jittat Fakcharoenphol; Dror Weitz (VLDB, 2000)

Link Evolution: Analysis and Algorithms. - Steve Chien; Cynthia Dwork; Ravi Kumar 001; Daniel R. Simon; D. Sivakumar 001 (Internet Math., 2003)

Clifford algebras and approximating the permanent. - Steve Chien; Lars Eilstrup Rasmussen; Alistair Sinclair (J. Comput. Syst. Sci., 2003)

A determinant-based algorithm for counting perfect matchings in a general graph. - Steve Chien (SODA, 2004)

A First Look at Peer-to-Peer Worms: Threats and Defenses. - Lidong Zhou; Lintao Zhang; Frank McSherry; Nicole Immorlica; Manuel Costa; Steve Chien (IPTPS, 2005)

Semantic similarity between search engine queries using temporal correlation. - Steve Chien; Nicole Immorlica (WWW, 2005)

On Clusters in Markov Chains. - Nir Ailon; Steve Chien; Cynthia Dwork (LATIN, 2006)

Algebras with Polynomial Identities and Computing the Determinant. - Steve Chien; Alistair Sinclair (SIAM J. Comput., 2007)

Strong and Pareto Price of Anarchy in Congestion Games. - Steve Chien; Alistair Sinclair (ICALP (1), 2009)

Space-Efficient Estimation of Robust Statistics and Distribution Testing. - Steve Chien; Katrina Ligett; Andrew McGregor 001 (ICS, 2010)

Almost settling the hardness of noncommutative determinant. - Steve Chien; Prahladh Harsha; Alistair Sinclair; Srikanth Srinivasan 001 (STOC, 2011)

Convergence to approximate Nash equilibria in congestion games. - Steve Chien; Alistair Sinclair (Games Econ. Behav., 2011)

Tempered Sigmoid Activations for Deep Learning with Differential Privacy. - Nicolas Papernot; Abhradeep Thakurta; Shuang Song 001; Steve Chien; Úlfar Erlingsson (AAAI, 2021)

Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. - Steve Chien; Prateek Jain 002; Walid Krichene; Steffen Rendle; Shuang Song 001; Abhradeep Thakurta; Li Zhang 001 (ICML, 2021)

Detecting Unintended Memorization in Language-Model-Fused ASR. - W. Ronny Huang; Steve Chien; Om Dipakbhai Thakkar; Rajiv Mathews (INTERSPEECH, 2022)

EANA: Reducing Privacy Risk on Large-scale Recommendation Models. - Lin Ning 001; Steve Chien; Shuang Song 001; Mei Chen; Yunqi Xue; Devora Berlowitz (RecSys, 2022)

Membership Inference Attacks From First Principles. - Nicholas Carlini; Steve Chien; Milad Nasr; Shuang Song 001; Andreas Terzis; Florian Tramèr (SP, 2022)

Toward Training at ImageNet Scale with Differential Privacy. - Alexey Kurakin; Steve Chien; Shuang Song 001; Roxana Geambasu; Andreas Terzis; Abhradeep Thakurta (CoRR, 2022)

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy. - Natalia Ponomareva 001; Hussein Hazimeh 001; Alex Kurakin; Zheng Xu 002; Carson Denison; H. Brendan McMahan; Sergei Vassilvitskii; Steve Chien; Abhradeep Guha Thakurta (J. Artif. Intell. Res., 2023)

Training Large ASR Encoders With Differential Privacy. - Geeticka Chauhan; Steve Chien; Om Thakkar 001; Abhradeep Thakurta; Arun Narayanan (SLT, 2024)