Bang An - RankMe

36 papers A* 12Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security. CoRR Zikui Cai, Shayan Shabihi, Bang An, Zora Che, Brian R. Bartoldson, Bhavya Kailkhura, Tom Goldstein, Furong Huang
2025	A*	`conf`	Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? AAAI Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
2025	J	`jnl`	GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. ACM Trans. Knowl. Discov. Data Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang
2025	A*	`conf`	GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment. ICLR Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh
2025	—	`conf`	PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. NAACL (Long Papers) Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2025	J	`jnl`	PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. CoRR Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2024	J	`jnl`	Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. CoRR Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang
2024	J	`jnl`	Benchmarking the Robustness of Image Watermarks. CoRR Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2024	J	`jnl`	Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? CoRR Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
2024	J	`jnl`	Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine. CoRR 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
2024	—	`conf`	Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. ACL (1) Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
2024	J	`jnl`	GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment. CoRR Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh
2024	A*	`conf`	PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. ICLR Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
2024	A*	`conf`	Position: On the Possibilities of AI-Generated Text Detection. ICML Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
2024	A*	`conf`	SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
2024	J	`jnl`	SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. CoRR Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
2024	J	`jnl`	Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang
2024	A*	`conf`	WAVES: Benchmarking the Robustness of Image Watermarks. ICML Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2023	J	`jnl`	AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun
2023	A*	`conf`	C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. NeurIPS Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
2023	J	`jnl`	C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. CoRR Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
2023	J	`jnl`	Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. CoRR Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
2023	J	`jnl`	GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. CoRR Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang
2023	A*	`conf`	Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. ICML Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong
2023	J	`jnl`	More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. CoRR Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
2023	J	`jnl`	On the Possibilities of AI-Generated Text Detection. CoRR Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
2022	A*	`conf`	Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. NeurIPS Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
2022	A*	`conf`	Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. NeurIPS Bang An, Zora Che, Mucong Ding, Furong Huang
2022	J	`jnl`	Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. CoRR Bang An, Zora Che, Mucong Ding, Furong Huang
2021	A*	`conf`	Understanding the Generalization Benefit of Model Invariance from a Data Perspective. NeurIPS Sicheng Zhu, Bang An, Furong Huang
2021	J	`jnl`	Understanding the Generalization Benefit of Model Invariance from a Data Perspective. CoRR Sicheng Zhu, Bang An, Furong Huang
2020	J	`jnl`	Guess First to Enable Better Compression and Adversarial Robustness. CoRR Sicheng Zhu, Bang An, Shiyu Niu
2020	—	`conf`	Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020	J	`jnl`	Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020	A*	`conf`	Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
2020	J	`jnl`	Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen