The ACTION Institute's mission is to innovate the fields of AI and Security.
The Institute shares with both the scientific community and the industry publications, software repositories, datasets, and other artifacts.
Software Repositories
DeepCASE source code
Datasets
The MABEL dataset
The DeepCASE dataset
Publications
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
May 20, 2025 Read More
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.
May 19, 2025 Read More
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.
April 27, 2025 Read More
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
April 26, 2025 Read More
Generalizing Reasoning Problems to Longer Lengths
Changnan Xiao, Bing Liu
Proceedings of the Thirteenth International Conference on Learning Representations (ICLR-2025), Singapore
April 24, 2025 Read More
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
April 24, 2025 Read More
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
March 4, 2025 Read More
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
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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
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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
February 25, 2025 Read More
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
February 25, 2025 Read More
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.
February 24, 2025 Read More
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.
February 24, 2025 Read More
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
January 19, 2025 Read More
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
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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
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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
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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.
December 31, 2024 Read More
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
Yiling Xie , Xiaoming Huo
To appear in Journal of Machine Learning Research
December 31, 2024 Read More
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
December 31, 2024 Read More
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)
December 9, 2024 Read More
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
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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)
December 9, 2024 Read More
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)
December 9, 2024 Read More
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)
December 9, 2024 Read More
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)
December 9, 2024 Read More
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
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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)
December 9, 2024 Read More
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
December 8, 2024 Read More
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)
December 2, 2024 Read More