3 papers
cs.CR2026
SoK: Robustness in Large Language Models against Jailbreak Attacks
Feiyue Xu, Hongsheng Hu, Chaoxiang He +9
Large Language Models (LLMs) have achieved remarkable success but remain highly susceptible to jailbreak attacks, in which adversarial prompts coerce models into generating harmful…
cs.CV2025
Malicious Image Analysis via Vision-Language Segmentation Fusion: Detection, Element, and Location in One-shot
Sheng Hang, Chaoxiang He, Hongsheng Hu +5
Detecting illicit visual content demands more than image-level NSFW flags; moderators must also know what objects make an image illegal and where those objects occur. We introduce…
cs.CR2025
BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
Bingguang Lu, Hongsheng Hu, Yuantian Miao +4
Federated learning (FL) has been widely adopted as a decentralized training paradigm that enables multiple clients to collaboratively learn a shared model without exposing their lo…