Knowledge Transfer

StruQ: Defending Against Prompt Injection with Structured Queries

Sizhe Chen, Julien Piet, Chawin Sitawarin, David Wagner

In Proceedings of the 34th USENIX Security Symposium, Seattle, WA, Aug. 13–15, 2025.August 13, 2025

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 

Maximizing Truth Learning in a Social Network is NP-Hard

Uradnik, Filip, Wang, Amanda, Gao, Jie

Proceedings of the 24th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Detroit, MI.

You Can’t Judge a Binary by Its Header: Data-Code Separation for Non-Standard ARM Binaries using Pseudo Labels

Hadjer Benkraouda, N. Diwan, Gang Wang

In 2025 IEEE Symposium on Security and Privacy (SP) (pp. 36-36). IEEE Computer Society. May, 2025.May 12, 2025

Differentially Private Range Queries with Correlated Input Perturbation

Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang

In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025), May 3–5, 2025.

Dynamic gradient influencing for viral marketing using graph neural networks

Saurabh Sharma , Ambuj K. Singh

In Proc. Web Conf. (WWW), 2025, pp. 3982–3993.April 28, 2025

GraphEval36K: Benchmarking coding and reasoning capabilities of large language models on graph datasets

Q. Wu, Z. Chen, W. Corcoran, M. Sra, A. Singh

In Findings of the Association for Computational Linguistics: NAACL, Apr. 2025, pp. 8095–8117.

Vulnerability Detection with Code Language Models: How Far Are We?  

Ding, Yangruibo; Fu, Yanjun; Ibrahim, Omniyyah; Sitawarin, Chawin; Chen, Xinyun; Alomair, Basel; Wagner, David; Ray, Baishakhi; Chen, Yizheng    

In Proceedings of 47th International Conference on Software Engineering, Ottowa, Ontario, Canada.

From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis

Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ziang Xiao, Ming Yin

43rd ACM Conference on Human Factors in Computing Systems (CHI), Yokohama, Japan

On the Price of Differential Privacy for Hierarchical Clustering

Chengyuan Deng, Jie Gao, Jalaj Upadhyay , Chen Wang , Samson Zhou

Postesr at the 13th International Conference on Learning Representations (ICLR 2025), Apr. 24–28, 2025.April 24, 2025

Generalizing Reasoning Problems to Longer Lengths

Changnan Xiao, Bing Liu

Proceedings of the Thirteenth International Conference on Learning Representations (ICLR-2025), Singapore

Diffusion On Syntax Trees For Program Synthesis

Shreyas Kapur, Erik Jenner, Stuart Russell

Proceedings of the Thirteenth International Conference on Learning Representations (ICLR-2025), Singapore

Mark My Words: Analyzing and Evaluating Language Model Watermarks

J. Piet, C. Sitawarin, V. Fang, N. Mu, David Wagner

In Proc. of 3rd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), University of Copenhagen, Denmark, April 9-11, 2025.April 9, 2025

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

Will an AI with Private Information Allow Itself to be Switched Off?

Andrew Garber, Rohan Subramani, Linus Luu, Mark Bedaywi, Stuart Russell, Scott Emmons

AAAI-25 (AI Alignment track), Philadelphia, PA

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.

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling

Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li

In Proceedings of the 2025 Network and Distributed System Security (NDSS) Symposium, San Diego, CA, USA, Feb. 24–28, 2025.

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

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)