Knowledge Transfer

Jasmine: Scale up JavaScript Static Security Analysis with Computation-Based Semantic Explanation

Xiao, Feng, Su, Zhongfu, Yang, Guangliang, Lee, Wenke

IEEE Symposium on Security and Privacy, San Francisco, CA 

A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer

Lu, Hanxiao, Cai, Hongyu, Liang, Yiming, Bianchi, Antonio, Celik, Z. Berkay

Proceedings of the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) Quebec, Canada

Approximating Metric Magnitude of Point Sets

R. Andreeva, J. Ward, P. Skraba, J. Gao, R. Sarkar

The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, USAFebruary 25, 2025

ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates

Jiang, Fengqing, Xu, Zhangchen, Niu, Luyao, Lin, Bill Yuchen, Poovendran, Radha

The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, USAFebruary 25, 2025

Continual Learning Using a Kernel-Based Method Over Foundation Models

Momeni, Saleh, Mazumder, Sahisnu, Liu, Bing

The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, USA

A Large-Scale Measurement Study of the PROXY Protocol and its Security Implications

Stijn Pletinckx, Christopher Kruegel, Giovanni Vigna

In Proceedings of the 2025 Network and Distributed System Security (NDSS) Symposium, San Diego, CA.

Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples

Li, Adrian S., Iyengar, Arun, Kundu, Ashish, Bertino, Elisa

Proceedings of the 2025 Network and Distributed System Security (NDSS) Symposium, San Diego, CA.

Continual Learning Using Only Large Language Model Prompting

Qiu, Jiabao, Zixuan Ke, Liu, Bing

The 31st International Conference on Computational Linguistics (COLING-2025), Abu Dhabi, UAE

In-Context Continual Learning Assisted by an External Continual Learner

Momeni, Saleh, Mazumder, Sahisnu, Ke, Zixuan, Liu, Bing

The 31st International Conference on Computational Linguistics (COLING-2025), Abu Dhabi, UAEJanuary 19, 2025

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

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

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

Graphene: Infrastructure Security Posture Analysis with AI-generated Attack Graphs

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

The 10th IEEE International Conference on Collaboration and Internet Computing (short version of the paper). October 28, 2024

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