Xiang, Zhen

Unveiling Privacy Risks in LLM Agent Memory

Wang, B., He, W., Zeng, S., Xiang, Z., Xing, Y., Tang, J., & He, P. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 24

Unveiling Privacy Risks in LLM Agent Memory

Wang, B., He, W., Zeng, S., Xiang, Z., Xing, Y., Tang, J., & He, P. (2025) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 23

BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models

Xiang, Z., Jiang, F., Xiong, Z., Ramasubramanian, B., Poovendran, R., & Li, B. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 15

Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks

Li, X., Xiang, Z., Miller, D. J., & Kesidis, G. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 11

Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set

Xiang, Z., Miller, D. J., Wang, H., & Kesidis, G. (2021) · Neural Computation

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 8