| AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ... arXiv preprint arXiv:2310.15140, 2023 | 332* | 2023 |
| Position: On the Possibilities of AI-Generated Text Detection S Chakraborty, A Bedi, S Zhu, B An, D Manocha, F Huang Forty-first International Conference on Machine Learning, 2024 | 208* | 2024 |
| Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints Z Wang, X Wang, B An, D Yu, C Chen Annual Meeting of the Association for Computational Linguistics (ACL), 1072-1086, 2020 | 108 | 2020 |
| Benchmarking the robustness of image watermarks B An, M Ding, T Rabbani, A Agrawal, Y Xu, C Deng, S Zhu, A Mohamed, ... ICML, 2024 | 77* | 2024 |
| Adaptive transfer learning on graph neural networks X Han, Z Huang, B An, J Bai Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 74 | 2021 |
| Transferring Fairness under Distribution Shifts via Fair Consistency Regularization B An, Z Che, M Ding, F Huang Advances in Neural Information Processing Systems, 2022 | 53 | 2022 |
| Explore spurious correlations at the concept level in language models for text classification Y Zhou, P Xu, X Liu, B An, W Ai, F Huang Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 44 | 2024 |
| Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference B An, J Lyu, Z Wang, C Li, C Hu, F Tan, R Zhang, Y Hu, C Chen Empirical Methods in Natural Language Processing (EMNLP), 2020 | 41* | 2020 |
| Automatic pseudo-harmful prompt generation for evaluating false refusals in large language models B An, S Zhu, R Zhang, MA Panaitescu-Liess, Y Xu, F Huang arXiv preprint arXiv:2409.00598, 2024 | 39 | 2024 |
| GenARM: Reward guided generation with autoregressive reward model for test-time alignment Y Xu, UM Sehwag, A Koppel, S Zhu, B An, F Huang, S Ganesh arXiv preprint arXiv:2410.08193, 2024 | 38* | 2024 |
| Understanding the generalization benefit of model invariance from a data perspective S Zhu, B An, F Huang Advances in Neural Information Processing Systems 34, 4328-4341, 2021 | 38 | 2021 |
| PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts B An, S Zhu, MA Panaitescu-Liess, CK Mummadi, F Huang The Twelfth International Conference on Learning Representations, 2023 | 36* | 2023 |
| Sketch-GNN: Scalable graph neural networks with sublinear training complexity M Ding, T Rabbani, B An, E Wang, F Huang Advances in neural information processing systems 35, 2930-2943, 2022 | 35 | 2022 |
| Sectorization and configuration transition in airspace design X Zou, P Cheng, B An, J Song Mathematical Problems in Engineering 2016 (1), 6048326, 2016 | 30 | 2016 |
| Rag llms are not safer: A safety analysis of retrieval-augmented generation for large language models B An, S Zhang, M Dredze arXiv preprint arXiv:2504.18041, 2025 | 27 | 2025 |
| Can watermarking large language models prevent copyrighted text generation and hide training data? MA Panaitescu-Liess, Z Che, B An, Y Xu, P Pathmanathan, S Chakraborty, ... Proceedings of the AAAI Conference on Artificial Intelligence 39 (23), 25002 …, 2025 | 23* | 2025 |
| Gfairhint: Improving individual fairness for graph neural networks via fairness hint P Xu, Y Zhou, B An, W Ai, F Huang ACM Transactions on Knowledge Discovery from Data 19 (3), 1-22, 2025 | 12 | 2025 |
| AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security Z Cai, S Shabihi, B An, Z Che, BR Bartoldson, B Kailkhura, T Goldstein, ... arXiv preprint arXiv:2504.20965, 2025 | 8 | 2025 |
| Generation of sentence representation B An, H Guo, S Zhao, Z Su US Patent 11,176,333, 2021 | 8 | 2021 |
| Context based vehicular traffic prediction Z Wang, S Zhao, J Liu, B An, S Watanabe US Patent App. 16/421,244, 2020 | 6 | 2020 |
Furong HuangAssociate Professor of Computer Science, University of MarylandVerified email at umd.edu
