Knowledge Transfer

Label poisoning is all you need

Rishi Jha, Jonathan Hayase, Sewoong Oh

37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency

Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Suggala

37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Written testimony for the United States Senate AI Forum on Risk, Alignment, & Guarding Against Doomsday Scenarios

Stuart Russell

Written Testimony for the United States Senate AI Forum on Risk, Alignment, & Guarding Against Doomsday Scenarios

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks

Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li

Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (findings, EMNLP-2023),  Singapore,  December 6 –10, 2023.

Stochastic Dynamic Information Flow Tracking game using supervised learning for detecting advanced persistent threats

Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran

Automatica 159 (2024): 111353.

BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models

Zhen Xiang, Fengqing Jiang, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li

Published at NeurIPS 2023 Workshop on Backdoors in Deep Learning- The Good, The Bad, and the Ugly, December 2023.

Generative AI models should include detection mechanisms as a condition for public release

Alistair Knott, Dino Pedreschi, Raja Chatila, Tapabrata Chakraborti, Susan Leavy, Ricardo Baeza-Yates, David Eyers, Andrew Trotman, Paul D. Teal, Przemyslaw Biecek, Stuart Russell, Yoshua Bengio

Ethics and Information Technology 25, no. 4 (2023): 55

Evaluating stability in massive social networks: Efficient streaming algorithms for structural balance

Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang

Proceedings of the International Conference on Randomization and Computation (RANDOM 2023),  58:1–58:23. 

Learning Prototype Classifers for Long-Tailed Recognition

Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj Singh

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23)

Learning ability of interpolating deep convolutional neural networks

Tian-Yi Zhou , Xiaoming Huo

Applied and Computational Harmonic Analysis 68 (2024): 101582.

VulChecker: Graph-based Vulnerability Localization in Source Code

Yisroel Mirsky, George Macon, Michael Brown, Carter Yagemann , Matthew Pruett, Evan Downing, Sukarno Mertoguno, Wenke Lee

In 32nd USENIX Security Symposium (USENIX Security 23), pp. 6557-6574. 2023

High-dimensional sparse index tracking based on a multi-step convex optimization approach

Fangquan Shi, Lianjie Shu, Yiling Luo, Xiaoming Huo

Quantitative Finance 23, no. 9 (2023): 1361-1372.

ARIoTEDef: Adversarially Robust IoT Early Defense System Based on Self-Evolution against Multi-step Attacks

M. Huang, H. Lee, A. Kundu, X. Chen, A. Mudgerikar, Ninghui Li, Elisa Bertino

ACM Transactions on Internet of Things

Opening statement for the hearing on Oversight of AI: Principles for Regulation

Stuart Russell

U.S. Senate Committee on the Judiciary, Subcommittee on Privacy, Technology, and the Law, Washington, D.C. 

Parameter-level soft-masking for continual learning

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

In International Conference on Machine Learning, pp. 17492-17505. PMLR, 2023.

Learnability and Algorithm for Continual Learning

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu

In International Conference on Machine Learning, pp. 16877-16896. PMLR, 2023.

Conformalization of sparse generalized linear models

Etash Guha, Eugene Ndiaye Kumar, Xiaoming Huo

In International Conference on Machine Learning, pp. 11871-11887. PMLR, 2023.

Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks

Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo

 In The Eleventh International Conference on Learning Representations. 2022.

Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources

Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran

22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), May 2023.

Continual Learning of Language Models

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

To appear in Proceedings of The Eleventh International Conference on Learning Representations (ICLR-2023), Kigali Rwanda, Mon May 1 - Fri May 5 2023.

Improved rate of first order algorithms for entropic optimal transport

Yiling Luo, Yiling Xie, Xiaoming Huo

In International Conference on Artificial Intelligence and Statistics, pp. 2723-2750. PMLR, 2023.

Watch Out for Updates: Understanding the Effects of Model Explanation Updates in AI-Assisted Decision Making

Xinru Wang, Ming Yin

Proceedings of ACM CHI'23, Hamburg, Germany.

Accelerate the warm-up stage in the Lasso computation via a homotopic approach

Yujie Zhao, Xiaoming Huo

Computational Statistics & Data Analysis 184 (2023): 107747

Solving a special type of optimal transport problem by a modified Hungarian algorithm

Xie, Yiling, Luo, Yiling , Huo, Xiaoming

Transactions on Machine Learning Research (TMLR), Published online

Solving a special type of optimal transport problem by a modified Hungarian algorithm

Yiling Xie, Yiling Luo, Xiaoming Huo

Transactions on Machine Learning Research (TMLR), Published online.

Adversarial Policies Beat Superhuman Go AIs

Tony T. Wang, Adam Gleave, Tom Tseng, Nora Belrose, Kellin Pelrine, Joseph Miller, Michael D Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell

February 18, 2023

A Theoretical Study on Solving Continual Learning

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

Proceedings of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS-2022), Nov. 28 - Dec. 9, 2022.

An Efficient One-Class SVM for Novelty Detection in IoT

Kun Yang, Samory Kpotufe, Nick Feamster

Transactions on Machine Learning Research, 11(2022).

DEEPCASE: Semi-Supervised Contextual Analysis of Security Events

Thijs Ede, Hojjat Aghakhani, Noah Spahn, Riccardo Bortolameotti, Marco Cova, Andrea Continella, Maarten Steen, Andreas Peter, Christopher Kruegel, Giovanni Vigna

Proceedings of the IEEE Symposium on Security and Privacy (SP), San Francisco, CA.

Agent-Temporal Attention for Reward Redistribution in Episodic MultiAgent Reinforcement Learning

Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran

Proc. of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), Online, May 2022.