Su, Hang

Black-box Detection of Backdoor Attacks with Limited Information and Data

Dong, Y., Yang, X., Deng, Z., Pang, T., Xiao, Z., Su, H., & Zhu, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 92

Incorporating neuro-inspired adaptability for continual learning in artificial intelligence

Wang, L., Zhang, X., Li, Q., Zhang, M., Su, H., Zhu, J., & Zhong, Y. (2023) · Nature Machine Intelligence

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 91

FineSurE: Fine-grained Summarization Evaluation using LLMs

Song, H., Su, H., Shalyminov, I., Cai, J., & Mansour, S. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 32

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents

Su, H., Luo, J., Liu, C., Yang, X., Zhang, Y., Dong, Y., & Zhu, J. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 11

Evil Geniuses: Delving into the Safety of LLM-based Agents

Tian, Y., Yang, X., Zhang, J., Dong, Y., & Su, H. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 10