Samuel Deng

According to our database, Samuel Deng authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Mathematics for Machine Learning: A Bridge Course.

Samuel Deng

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

2024

Group-wise oracle-efficient algorithms for online multi-group learning.

Samuel Deng, Jingwen Liu, Daniel J. Hsu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-group Learning for Hierarchical Groups.

Samuel Deng, Daniel Hsu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

Learning Tensor Representations for Meta-Learning.

Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Is Private Learning Possible with Instance Encoding?

Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta, Florian Tramèr

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks.

Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Guha Thakurta

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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, Abhradeep Thakurta, Florian Tramèr

CoRR, 2020

Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics.

Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Ensuring Fairness Beyond the Training Data.

Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel J. Hsu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science.

Samuel Deng, Achille C. Varzi

CoRR, 2019