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Author

Virginia Smith

2 papers indexed here

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Preprint Sep 2026

Codetta: High-Capacity, Keyless, and Undetectable Multi-Agent Collusion

Multi-agent systems built on large language models (LLMs) are increasingly deployed in high-stakes settings such as finance, healthcare, and software engineering, where agents coordinate through natural-language messages. The same channels, however, let colluding agents exfiltrate confidential information or coordinate...

Qi Pang, Virginia Smith, Wen-Ting Zheng · 1 citation
#artificial intelligence Review Sep 2026

Safety Nudges: User-Facing Interventions for Real-Time AI Risk Awareness

Safety Nudges is introduced, a browser-based tool that provides lightweight, in situ flags when concerning behavior is detected in chatbot conversations, suggesting that user facing safety nudges can complement model-level safeguards by helping people critically evaluate AI responses in context.

Varshini Elangovan, J. Wedgwood, Chhavi Yadav et al. · 0 citations

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