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cs.AI2026

Let Prompts Bridge Defense Knowledge: Transferable Graph Purification via Vulnerability-Aware GPL

Shuomin Xue, Jingyuan Li, Ju Jia +2

Graph Neural Networks (GNNs) have emerged as a cornerstone for representing complex relational dependencies in diverse multimedia tasks, particularly in cross-platform user interes…

cs.CV2026

DEFUSE: Generalizable Backdoor Defense for Self-Supervised Encoders with Generative Priors

Tuo Chen, Jie Gui, Minjing Dong +4

Self-supervised learning (SSL) encoders are vulnerable to backdoor attacks, posing threats to both visual SSL encoders and vision-language encoders. Existing defenses are typically…

cs.CR2026

ColluSkill: Adversarial Cross-Skill Composition for Evading Agent Skill Scanners

Puyu Zeng, Simeng Qin, Jingzhi Li +3

Agent skills are emerging as an important attack surface in LLM-based agent systems. Through an empirical study of existing skill scanners, we find that current defenses mainly ins…

cs.CR2026

Babel: Jailbreaking Safety Attention via Obfuscation Distribution Optimized Sampling

Ziwei Wang, Jing Chen, Ruichao Liang +6

Despite rigorous safety alignment, Large Language Models (LLMs) remain vulnerable to jailbreak attacks. Existing black-box methods often rely on heuristic templates or exhaustive t…

cs.AI2026

RECUR: Resource Exhaustion Attack via Recursive-Entropy Guided Counterfactual Utilization and Reflection

Ziwei Wang, Yuanhe Zhang, Jing Chen +6

Large Reasoning Models (LRMs) employ reasoning to address complex tasks. Such explicit reasoning requires extended context lengths, resulting in substantially higher resource consu…