3 papers
cs.CV2026
When the Editing Intent Is Split: A Cross-Modal Jailbreak Attack for Large Image Editing Models
Xianmin Ye, Zhiyuan Fan, Tianju Liu +3
Large image editing models increasingly infer editing intent from both textual and visual inputs, creating an underexplored safety risk when harmful intent is distributed across mo…
cs.LG2026
A Model Merging Approach for Continual MLLM Unlearning
Yuhang Wang, Linlin Zhang, Haoxuan Ji +3
Multimodal large language model (MLLM) unlearning methods have been proposed to remove private, sensitive, or proprietary information from well-trained models. However, most existi…
cs.AI2026
Salami Attack: Stealthy Collusive Memory Poisoning against OpenClaw
Zheng Lin, Yuzhe Huang, Zhenxing Niu +2
Long-term memory enables LLM agents to retain useful information across sessions, but also creates an attack surface through which adversaries may poison an agent's persistent memo…