Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. - Zhenyi Wang 001; Xiaoyang Wang; Bang An 001; Dong Yu 001; Changyou Chen (ACL, 2020)

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. - Bang An 001; Jie Lyu 004; Zhenyi Wang 001; Chunyuan Li; Changwei Hu; Fei Tan 002; Ruiyi Zhang 002; Yifan Hu 001; Changyou Chen (EMNLP (1), 2020)

Guess First to Enable Better Compression and Adversarial Robustness. - Sicheng Zhu; Bang An 001; Shiyu Niu (CoRR, 2020)

Understanding the Generalization Benefit of Model Invariance from a Data Perspective. - Sicheng Zhu; Bang An 001; Furong Huang (NeurIPS, 2021)

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. - Bang An 001; Zora Che; Mucong Ding; Furong Huang (NeurIPS, 2022)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. - Mucong Ding; Tahseen Rabbani; Bang An 001; Evan Wang; Furong Huang (NeurIPS, 2022)

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. - Sicheng Zhu; Bang An 001; Furong Huang; Sanghyun Hong 001 (ICML, 2023)

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. - Xiaoyu Liu 003; Jiaxin Yuan; Bang An 001; Yuancheng Xu; Yifan Yang 006; Furong Huang (NeurIPS, 2023)

On the Possibilities of AI-Generated Text Detection. - Souradip Chakraborty; Amrit Singh Bedi; Sicheng Zhu; Bang An 001; Dinesh Manocha; Furong Huang (CoRR, 2023)

More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. - Bang An 001; Sicheng Zhu; Michael-Andrei Panaitescu-Liess; Chaithanya Kumar Mummadi; Furong Huang (CoRR, 2023)

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. - Sicheng Zhu; Ruiyi Zhang 002; Bang An 001; Gang Wu 013; Joe Barrow; Zichao Wang 001; Furong Huang; Ani Nenkova; Tong Sun 005 (CoRR, 2023)

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. - Yuhang Zhou; Paiheng Xu; Xiaoyu Liu 003; Bang An 001; Wei Ai 002; Furong Huang (ACL (1), 2024)

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. - Bang An 001; Sicheng Zhu; Michael-Andrei Panaitescu-Liess; Chaithanya Kumar Mummadi; Furong Huang (ICLR, 2024)

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. - Mucong Ding; Bang An 001; Yuancheng Xu; Anirudh Satheesh; Furong Huang (ICLR, 2024)

WAVES: Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (ICML, 2024)

Position: On the Possibilities of AI-Generated Text Detection. - Souradip Chakraborty; Amrit S. Bedi; Sicheng Zhu; Bang An 001; Dinesh Manocha; Furong Huang (ICML, 2024)

Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (CoRR, 2024)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. - Mucong Ding; Tahseen Rabbani; Bang An 001; Evan Z. Wang; Furong Huang (CoRR, 2024)

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. - Bang An 001; Sicheng Zhu; Ruiyi Zhang 002; Michael-Andrei Panaitescu-Liess; Yuancheng Xu; Furong Huang (CoRR, 2024)

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine. - Yifan Yang 006; Qiao Jin 001; Robert Leaman; Xiaoyu Liu 003; Guangzhi Xiong; Maame Sarfo-Gyamfi; Changlin Gong; Santiago Ferrière-Steinert; W. John Wilbur; Xiaojun Li; Jiaxin Yuan; Bang An 001; et al. (CoRR, 2024)

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? - Michael-Andrei Panaitescu-Liess; Zora Che; Bang An 001; Yuancheng Xu; Pankayaraj Pathmanathan; Souradip Chakraborty; Sicheng Zhu; Tom Goldstein; Furong Huang (AAAI, 2025)

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment. - Yuancheng Xu; Udari Madhushani Sehwag; Alec Koppel; Sicheng Zhu; Bang An 001; Furong Huang; Sumitra Ganesh (ICLR, 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 001; Sicheng Zhu; Aakriti Agrawal; Furong Huang (NAACL (Long Papers), 2025)

AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security. - Zikui Cai; Shayan Shabihi; Bang An 001; Zora Che; Brian R. Bartoldson; Bhavya Kailkhura; Tom Goldstein; Furong Huang (CoRR, 2025)

GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. - Paiheng Xu; Yuhang Zhou; Bang An 001; Wei Ai 002; Furong Huang (ACM Trans. Knowl. Discov. Data, 2025)