Sha, Zeyang

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Sha, Z., Li, Z., Yu, N., & Zhang, Y. (2023) · Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 175

A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures

Kong, D., Lin, S., Xu, Z., Wang, Z., Li, M., Li, Y., Zhang, Y., Peng, H., Chen, X., Sha, Z., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 23

The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination

Yin, C., Sha, Z., Cui, S., Meng, C., & Li, Z. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesAI-based Problem Solving and Planning

Cited by 0