Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science. - Samuel Deng; Achille C. Varzi (CoRR, 2019)

Ensuring Fairness Beyond the Training Data. - Debmalya Mandal; Samuel Deng; Suman Jana; Jeannette M. Wing; Daniel J. Hsu (NeurIPS, 2020)

Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics. - Bo Cowgill; Fabrizio Dell'Acqua; Samuel Deng; Daniel Hsu 001; Nakul Verma; Augustin Chaintreau (EC, 2020)

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding? - Nicholas Carlini; Samuel Deng; Sanjam Garg; Somesh Jha; Saeed Mahloujifar; Mohammad Mahmoody; Shuang Song 001; Abhradeep Thakurta; Florian Tramèr (CoRR, 2020)

A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks. - Samuel Deng; Sanjam Garg; Somesh Jha; Saeed Mahloujifar; Mohammad Mahmoody; Abhradeep Guha Thakurta (NeurIPS, 2021)

Is Private Learning Possible with Instance Encoding? - Nicholas Carlini; Samuel Deng; Sanjam Garg; Somesh Jha; Saeed Mahloujifar; Mohammad Mahmoody; Abhradeep Thakurta; Florian Tramèr (SP, 2021)

Learning Tensor Representations for Meta-Learning. - Samuel Deng; Yilin Guo; Daniel Hsu 001; Debmalya Mandal (AISTATS, 2022)

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. - Xiangyun Meng; Nathan Hatch; Alexander Lambert; Anqi Li 001; Nolan Wagener; Matthew Schmittle; Joonho Lee; Wentao Yuan; Zoey Qiuyu Chen; Samuel Deng; Greg Okopal; Dieter Fox; et al. (Robotics: Science and Systems, 2023)

Multi-group Learning for Hierarchical Groups. - Samuel Deng; Daniel Hsu 001 (ICML, 2024)

Group-wise oracle-efficient algorithms for online multi-group learning. - Samuel Deng; Jingwen Liu; Daniel J. Hsu (NeurIPS, 2024)

Mathematics for Machine Learning: A Bridge Course. - Samuel Deng (SIGCSE (2), 2025)