3 papers
eess.SY2026
Privacy-Preserving Distributed Stochastic Optimization with Homomorphic Encryption and Heterogeneous Stepsizes
Haoqiang Zhou, Chi Chen, Yongfeng Zhi +1
Distributed stochastic optimization enables multi-agent collaboration in applications such as distributed learning and sensor networks, but also raises critical privacy concerns du…
cs.CR2025
Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
Shiji Zhao, Ranjie Duan, Fengxiang Wang +7
Multimodal Large Language Models (MLLMs) have achieved impressive performance and have been put into practical use in commercial applications, but they still have potential safety…
cs.CV2025
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation
Shiji Zhao, Chi Chen, Ranjie Duan +2
Adversarial Training (AT) is widely recognized as an effective approach to enhance the adversarial robustness of Deep Neural Networks. As a variant of AT, Adversarial Robustness Di…