Chen, Kai

Understanding Membership Inferences on Well-Generalized Learning Models

Long, Y., Bindschaedler, V., Wang, L., Bu, D., Wang, X., Tang, H., Gunter, C. A., & Chen, K. (2018) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 166

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems

Chen, K., Zhen, T., Wang, H., Liu, K., Li, X., Huo, J., Yang, T., Xu, J., Dong, W., & Gao, Y. (2025) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 32

DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks

He, Y., Meng, G., Chen, K., He, J., & Hu, X. (2021) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 9

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

Que, H., Duan, F., He, L., Mou, Y., Zhou, W., Liu, J., Rong, W., Wang, Z. M., Yang, J., Zhang, G., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models

Li, Z., Song, S., Wang, H., Niu, S., Chen, D., Yang, J., Xi, C., Lai, H., Zhao, J., Wang, Y., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks

Wang, C., Duan, H., Zhang, S., Lin, D., & Chen, K. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1