Samuel Deng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Atlas Construction

Top Venues

IEEE Symposium on Security and Privacy

Publications

Samuel Deng, Daniel Hsu
Multi-group Learning for Hierarchical Groups. CoRR (2024)
Samuel Deng, Daniel Hsu, Jingwen Liu
Group-wise oracle-efficient algorithms for online multi-group learning. CoRR (2024)
Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. CoRR (2023)
Samuel Deng, Navid Ardeshir, Daniel Hsu
Group conditional validity via multi-group learning. CoRR (2023)
Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal
Learning Tensor Representations for Meta-Learning. CoRR (2022)
Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal
Learning Tensor Representations for Meta-Learning. AISTATS (2022)
Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Guha Thakurta
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks. NeurIPS (2021)
Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta, Florian Tramèr
Is Private Learning Possible with Instance Encoding? IEEE Symposium on Security and Privacy (2021)
Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics. EC (2020)
Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel Hsu
Ensuring Fairness Beyond the Training Data. CoRR (2020)
Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics. CoRR (2020)
Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramèr
An Attack on InstaHide: Is Private Learning Possible with Instance Encoding? CoRR (2020)
Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel J. Hsu
Ensuring Fairness Beyond the Training Data. NeurIPS (2020)
Samuel Deng, Achille C. Varzi
Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science. CoRR (2019)