Bang An

According to our database, Bang An authored at least 25 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint.

Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang

ACM Trans. Knowl. Discov. Data, April, 2025

AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security.

Zikui Cai, Shayan Shabihi, Bang An, Zora Che, Brian R. Bartoldson, Bhavya Kailkhura, Tom Goldstein, Furong Huang

CoRR, April, 2025

PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models.

Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment.

Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine.

Yifan Yang, Qiao Jin, Robert Leaman, Xiaoyu Liu, Guangzhi Xiong, Maame Sarfo-Gyamfi, Changlin Gong, Santiago Ferrière-Steinert, W. John Wilbur, Xiaojun Li, Jiaxin Yuan, Bang An, Kelvin S. Castro, Francisco Erramuspe Álvarez, Matías Stockle, Aidong Zhang, Furong Huang, Zhiyong Lu

CoRR, 2024

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models.

Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang

CoRR, 2024

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.

Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang

CoRR, 2024

Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

CoRR, 2024

Position: On the Possibilities of AI-Generated Text Detection.

Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

WAVES: Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation.

Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts.

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.

Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models.

Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun

CoRR, 2023

More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes.

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang

CoRR, 2023

On the Possibilities of AI-Generated Text Detection.

Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang

CoRR, 2023

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder.

Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator.

Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong

Proceedings of the International Conference on Machine Learning, 2023

2022

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.

Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization.

Bang An, Zora Che, Mucong Ding, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Understanding the Generalization Benefit of Model Invariance from a Data Perspective.

Sicheng Zhu, Bang An, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Guess First to Enable Better Compression and Adversarial Robustness.

Sicheng Zhu, Bang An, Shiyu Niu

CoRR, 2020

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.

Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints.

Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020