Knowledge Transfer

Low Sensitivity Hopsets

Vikrant Ashvinkumar, Aaron Bernstein, Chengyuan Deng, Jie Gao, Nicole Wein

The 16th Innovations in Theoretical Computer Science (ITCS 2025), New York, NYJanuary 7, 2025

Open-World Continual Learning: Unifying Novelty Detection and Continual Learning

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

Artificial Intelligence, Journal 338January 1, 2025

High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization

Namjoon Suh, Li-Hsiang Lin, Xiaoming Huo

 Journal of Computational and Graphical Statistics (2024): 1-12.

Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning

Yiling Xie , Xiaoming Huo

To appear in Journal of Machine Learning Research

Continual learning: Applications and the road forward

Eli Verwimp , Shai Ben-David , Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier

To appear in  Transaction on Machine Learning Research

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models

Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen Tianhao Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia

Advances in Neural Information Processing Systems, vol. 37, pp. 85131-85154, NeurIPS 2024. 

Collaborative Design between Intelligent Agents through Resource Sharing

Jules Chenou, Tonya Fields, Aurelia Williams

Computational Science and Computational Intelligence, Proceedings of the 11th International Conference, CSCI 2024, Las Vegas, NV, USA, December 11–13, 2024. Editors: Hamid R. Arabnia, Leonidas Deligiannidis, Copyright: 2025.December 11, 2024

Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary

Li, Zhuoyan, Yin, Ming

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS)

BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

Wang, Jiongxiao, Li, Jiazhao, Li, Yiquan, Qi, Xiangyu, Hu, Junjie, Li, Yixuan, McDaniel, Patrick, Chen, Muhao, Li, Bo, Xiao, Chaowei

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS)December 9, 2024

Robust prompt optimization for defending language models against jailbreaking attacks

Zhou, Andy, Bo Li , Haohan Wang

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS)

Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach

Niu, Chaoxi, Pang, Guansong, Chen, Ling, Liu, Bing

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS)

When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback

Lang, Leon, Foote, Davis, Russell, Stuart, Dragan, Anca, Jenner, Erik, Emmons, Scott

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS)

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness

Li, Yiquan, Chen, Zhongzhu, Jin, Kun, Wang, Jiongxiao, Li, Bo, Xiao, Chaowei

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS)

RedCode: Risky Code Execution and Generation Benchmark for Code Agents

Guo, Chengquan, Liu, Xun, Xie, Chulin, Zhou, Andy, Zeng, Yi, Lin, Zinan, Song, Dawn, Li, Bo

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS) December 9, 2024

Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms

Deng, Chengyuan, Gao, Jie, Lu, Kevin, Luo, Feng, Sun, Hongbin, Xin, Cheng

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS)

Physical ID-Transfer Attacks Against Multi-Object Tracking via Adversarial Trajectory

Wang, Chenyi, Man, Yanmao, Muller, Raymond, Li, Ming, Celik, Z. Berkay, Gerdes, Ryan, Petit, Jonathan

Annual Computer Security Applications Conference (ACSAC), pp. 1–15. Honolulu, HI

DEEPCAPA: Identifying malicious capabilities in Windows malware

Sastha Vasan, Hojjat Aghakhani, S. Ortolani, R. Vasilenko, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna

In Proc. Annu. Comput. Secur. Appl. Conf. (ACSAC), Dec. 2024, pp. 826–842.December 8, 2024

Enabling Asymptotic Truth Learning in a Social Network

Lu, Kevin, Chong, Jordan, Lu, Matt, Gao, Jie

Proceedings of the 20th Conference on Web and Internet Economics (WINE'24)

Cleangen: Mitigating backdoor attacks for generation tasks in large language models.

Li, Y., Xu, Z., Jiang, F., Niu, L., Sahabandu, D., Ramasubramanian, B., Poovendran, R.

Conference on Empirical Methods in Natural Language Processing (EMNLP), Miami, FL

XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs

Zichen Chen, Jianda Chen, Ambuj K. Singh, Misha Sra

In Proc. Empirical Methods in Natural Language Processing (EMNLP), pp. 7578–7596, Miami, FL November 12-16, 2024November 12, 2024

Graphene: Towards Data-driven Holistic Security Posture Analysis using AI-generated Attack Graphs

Katsis, Charalampos, Jin, Xin, Sang, Fan, Sun, Jiahao, Bertino, Elisa, Kompella, Ramana Rao, Kundu, Ashish

The 10th IEEE International Conference on Collaboration and Internet Computing (CIC) (short version of the paper).

Mix and Match: Characterizing Heterogeneous Human Behavior in AI-assisted Decision Making

Lu, Zhuoran, Mahmood, Syed Hasan Amin, Li, Zhuoyan, Yin, Ming

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, Pittsburgh, PA.

RoboGuardZ: A Scalable Zero-Shot Framework for Detecting Zero-Day Malware in Robots

Kaur, Upinder, Celik, Z. Berkay, Voyles, Richard M.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhai, UAE

RoboCop: A Robust Zero-Day Cyber-Physical Attack Detection Framework for Robots

Kaur, Upinder, Celik, Z. Berkay, Voyles, Richard M.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhai, UAE

KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data

Zhou, Andy, Xu, Xiaojun, Raghunathan, Ramesh, Lal, Alok, Guan, Xinze, Yu, Bin, Li, Bo

Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security, Salt Lake City, UT

Jatmo: Prompt Injection Defense by Task-Specific Finetuning

Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun , Basel Alomair, David Wagner

European Symposium on Research in Computer Security (ESORICS 2024), Bydgoszcz, Poland, September 16, 2024

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning

D. Wang, A. Antoniades, K.-D. Luong, E. Zhang, M. Kosan, J. Li, A. K. Singh, W. Y. Wang, L. Li

In Proc. ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD), August, 2024, pp. 2991–3000.

WEBRR: A Forensic System for Replaying and Investigating Web-Based Attacks in the Modern Web

Allen, Joey, Yang, Zheng, XIao, Feng, Landen, Matthew, Perdisci, Roberto, Lee, Wenke

33rd USENIX Security Symposium, Philadelphia, PA

GuideEnricher: Protecting the Anonymity of Ethereum Mixing Service Users with Deep Reinforcement Learning

De Silva, Ravindu, Guo, Wenbo, Ruaro, Nicola, Grishchenko, Ilya, Kruegel, Christopher, Vigna, Giovanni

33rd USENIX Security Symposium (USENIX Security 24), Philadelphia, PennsylvaniaAugust 14, 2024

ACE: A model poisoning attack on contribution evaluation methods in federated learning

Xu, Z., Jiang, F., Niu, L., Jia, J., Li, Bo, Poovendran, Radha

33rd USENIX Security Symposium (USENIX Security 24), Philadelphia, Pennsylvania