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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CR2026

AI Security Leaderboard: Methodology, Results and Minimal Standard

Jasper Timm, Lukas Struppek, Ziwei Xu +12

The AI Security Leaderboard is an independent benchmark that ranks the safeguards of frontier AI models from least to most secure. It tests models against the FARAI Minimal Stan…

cs.AI2026

Large language models can effectively convince people to believe conspiracies

Thomas H. Costello, Kellin Pelrine, Matthew Kowal +6

The paper investigates whether large language models can be used to persuade people to adopt or reject conspiracy beliefs, finding that LLMs can both increase and decrease belief d…

cs.AI2026

It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics

Matthew Kowal, Jasper Timm, Jean-Francois Godbout +6

Persuasion is a powerful capability of large language models (LLMs) that both enables beneficial applications (e.g. helping people quit smoking) and raises significant risks (e.g.…

cs.LG2025

Multi-Turn Jailbreaks Are Simpler Than They Seem

Xiaoxue Yang, Jaeha Lee, Anna-Katharina Dick +3

While defenses against single-turn jailbreak attacks on Large Language Models (LLMs) have improved significantly, multi-turn jailbreaks remain a persistent vulnerability, often ach…

cs.CL2025

Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics

Jasper Timm, Chetan Talele, Jacob Haimes

Large Language Models (LLMs) are becoming increasingly persuasive, demonstrating the ability to personalize arguments in conversation with humans by leveraging their personal data.…