#model-manipulation News & Analysis

2 articles tagged with #model-manipulation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · Jun 237/10

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The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks

Researchers have discovered a new class of attacks called Targeted Identity Re-Association (TIRA) that can manipulate machine learning fairness audits and SHAP explainability tools without leaving detectable traces. The attacks use probabilistic output manipulation techniques to mask the influence of protected features, demonstrating that critical AI accountability mechanisms are vulnerable to sophisticated gaming.

AIBearisharXiv – CS AI · Mar 127/10

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Targeted Bit-Flip Attacks on LLM-Based Agents

Researchers have introduced Flip-Agent, the first targeted bit-flip attack framework specifically designed to exploit LLM-based agents by manipulating hardware faults. The attack can manipulate both final outputs and tool invocations in multi-stage AI agent pipelines, revealing critical security vulnerabilities in these systems.