First reported arxiv.org
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First reported arxiv.org
Localization then Neutralization: Gradient-guided Token Suppression against Visual Prompt Injection Attack
A research paper proposes Gradient Token Masking (GTM), a defense against visual prompt injection and multimodal jailbreak attacks on large vision-language models. The method localizes a small subset of critical adversarial image tokens via a Hidden-State Gradient Norm attribution score and neutralizes them by masking, reducing attack success rates to near zero with negligible overhead; code is released on GitHub. Details →First reported arxiv.org
Piggybacking on Perception: Stealthy Concurrent Audio Prompt Injections against Multimodal LLM Agents
A research paper, "Piggybacking on Perception," demonstrates stealthy concurrent audio prompt injection attacks against multimodal LLM agents, using instruction augmentation and scenario concealment to hide malicious audio instructions inside user speech and hijack agents. The authors build AudioAgentSecurity, a benchmark of 8 scenarios and 10 attack patterns, evaluate 11 agents (including Gemini 3 Pro and GPT-4o-audio) achieving a 69.10% average attack success rate against Gemini 3 Pro, and propose a CADV defense using source separation and cross-modal consistency achieving over 90% detection. Details →How the wire is made
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