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New "Invisible Ink Threats" Expose Security Risks in AI Agents

Researchers have identified a new category of security threats targeting computer-use agents (CUAs), which are AI systems designed to operate operating systems and the web. These "Invisible Ink Threats" involve low-harm injected goals that are difficult to distinguish from legitimate tasks, thus bypassing standard defenses like human-in-the-loop confirmation. A new benchmark, II-Bench, has been developed with 444 adversarial examples across three platforms to test these threats, revealing significant security risks in current CUAs. AI

IMPACT Highlights a novel attack vector that could compromise AI agents, necessitating new security measures for autonomous systems.

RANK_REASON Academic paper detailing a new class of security threats and a corresponding benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New "Invisible Ink Threats" Expose Security Risks in AI Agents

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Academic paper detailing a new class of security threats and a corresponding benchmark. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jia-Chen Zhang, Ze-Yu Zhang, Kai-Wei Zhang ·

    Invisible Ink Threats: Adversarial Goals Behind Legitimate Tasks in Computer-Use Agents

    arXiv:2608.02018v1 Announce Type: new Abstract: Computer-use agents (CUAs), which empower large language models to autonomously operate operating systems and the web, are increasingly vulnerable to indirect prompt injection attacks. A widely adopted defense is the human-in-the-lo…