Xu, Kaidi

A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly

Yao, Y., Duan, J., Xu, K., Cai, Y., Sun, Z., & Zhang, Y. (2024) · High-Confidence Computing

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 1,083

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

Hu, Q., Cai, Y., Shi, Q., Xu, K., Yu, G., & Ding, Z. (2021) · IEEE Transactions on Wireless Communications

Advanced MIMO Systems OptimizationAdvanced Wireless Network Optimization

Cited by 253

GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations

Duan, J., Zhang, R., Diffenderfer, J., Kailkhura, B., Sun, L., Stengel-Eskin, E., Bansal, M., Chen, T., & Xu, K. (2024) · Advances in Neural Information Processing Systems 37

Artificial Intelligence in GamesGame Theory and Applications

Cited by 39

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models

Pandit, S., Xu, J., Hong, J., Wang, Z., Chen, T., Xu, K., & Ding, Y. (2025) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 31

Exposing the Fake: Effective Diffusion-Generated Images Detection

Ma, R., Duan, J., Kong, F., Shi, X., & Xu, K. (2023) · arXiv

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 16

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Duan, J., Zhang, R., Diffenderfer, J., Kailkhura, B., Sun, L., Stengel-Eskin, E., Bansal, M., Chen, T., & Xu, K. (2024) · arXiv

Artificial Intelligence in GamesTopic Modeling

Cited by 4