Knowledge Transfer

Sentiment Analysis in the Era of Large Language Models: A Reality Check

Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan , Lidong Bing

In Proceedings of findings of 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2024, findings), Mexico City, Mexico, June 16–21, 2024

Does It Matter Who Said It? Exploring the Impact of Deepfake-Enabled Profiles On User Perception Towards Disinformation

Margie Ruffin, Haeseung Seo, Aiping Xiong, Gang Wang

In Proceedings of The International AAAI Conference on Web and Social Media (ICWSM), Buffalo, NY, June 3 - 6, 2024

Are Adversarial Phishing Webpages a Threat in Reality? Understanding the Users’ Perception of Adversarial Webpages

Ying Yuan, Qingying Hao, Giovanni Apruzzese, Mauro Conti, Gang Wang

In Proceedings of The ACM Web Conference (WWW), Singapore, May 13-17, 2024

It's Trying Too Hard To Look Real: Deepfake Moderation Mistakes and Identity-Based Bias

Jaron Mink, Miranda Wei, Collins W. Munyendo, Kurt Hugenberg, Tadayoshi Kohno, Elissa M. Redmiles, Gang Wang

In Proceedings of ACM CHI Conference on Human Factors in Computing Systems (CHI), Honolulu, HI, May 11-16, 2024
 

Badchain: Backdoor chain-of-thought prompting for large language models

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

In Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024

Effective and Efficient Federated Tree Learning on Hybrid Data

Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, and Dawn Song

In Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria    May 7-11, 2024

COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits.

Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li

In Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria    May 7-11, 2024

GNNX-BENCH: Unravelling the utility of perturbation-based gnn explainers through in-depth benchmarking

Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj Singh, Sourav Medya, Sayan Ranu

In Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria    May 7-11, 2024

Tensor trust: Interpretable prompt injection attacks from an online game

Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong , Karim Elmaaroufi , Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell

In Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024

Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching

Etash Kumar Guha, Prasanjit Dubey, Xiaoming Huo

In Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024) Workshop Bridging the Gap Between Practice and Theory in Deep Learning (BGPT), Vienna, Austria, May 6 - 11, 2024

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang

In Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024
 

Defending against transfer attacks from public models

Chawin Sitawarin , Jaewon Chang, David Huang, Wesson Altoyan, David Wagner

International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 6-11, 2024

A Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Detecting Advanced Persistent Threats

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

Conditionally accepted to IEEE Transactions on Automatic Control

Multi-Modal Continual Pre-Training For Audio Encoders

Gyukah Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu

In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 691-695. IEEE, 2024.

Sok: Pitfalls in evaluating black-box attacks

Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans

In 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), pp. 387-407. IEEE, 2024.

Regulating advanced artificial agents

Michael K. Cohen, Noam Kolt, Yoshua Bengio, Gillian K. Hadfield, Stuart Russell

 Science 384, no. 6691 (2024): 36-38.

Does more advice help? the effects of second opinions in AI-assisted decision making

Zhuoran Lu, Dakuo Wang, Ming Yin

Proceedings of the ACM on Human-Computer Interaction 8, no. CSCW1 (2024): 1-31.

Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate

Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, Ming Yin

In Proceedings of the 29th International Conference on Intelligent User Interfaces, pp. 103-119. 2024.

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang

In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, February 20-27, 2024

DGCluster: A Neural Framework for Attributed Graph Clustering via Modularity Maximization

Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj Singh, Sourav Medya

In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, February 20-27, 2024

Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making

Zhuoyan Li, Zhuoran Lu, Ming Yin

In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, February 20-27, 2024

Overcoming the lack of labeled data: Training malware detection models using adversarial domain adaptation

Sonam Bhardwaj, Adrian Shuai Li, Mayank Dave, Elisa Bertino

Computers & Security (2024): 103769.

Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran

Published at NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, December 2023.

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?

Fnu Suya, Xiao Zhang, Yuan Tian, David Evans

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

Fed-Game: A Game-Theoretic Defense Against Backdoor Attacks in Federated Learning

J. Jia, Z. Yuan, D. Sahabandu, L. Niu, A. Rajabi, B. Ramasubramanian, Bo Li, Radha Poovendran

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

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.