Tag: adversarial attacks
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Atmospheric Retrieval Hijacking in Remote Sensing RAG Systems
Discover how CloudWeb attacks manipulate atmospheric retrieval in remote sensing vision-language RAG, exposing key vulnerabilities in multimodal AI systems...
Understanding RL-Jailbreaker Attacks on Large Language Models
Explore how RL-jailbreaker attacks exploit vulnerabilities in LLMs and discover strategies to enhance AI safety against adversarial threats.
Self-Mined Hardness: Boosting AI Safety Fine-Tuning
Discover how self-mined hardness improves AI safety by reducing jailbreak attacks and balancing refusal rates in language models.
Dynamic Refusal Trajectories for Robust Jailbreak Detection
Discover how dynamic refusal trajectories and SALO improve AI jailbreak detection, boosting security against adversarial attacks with over 90% accuracy.
RouteHijack: Exploiting Routing Vulnerabilities in MoE LLMs
Discover how RouteHijack targets routing in Mixture-of-Experts LLMs, revealing critical vulnerabilities and advancing AI safety research.