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E. I. Tatli

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Conference Jul 2026

Generating Attacks for LLM with GFlowNets

The rapid advancement of Large Language Models (LLMs) has facilitated their ubiquitous integration into various domains, leading to widespread adoption. However, this escalating trend has introduced significant security vulnerabilities, necessitating the identification and mitigation of flaws arising from malicious exp...

Berkay Özçam, İrem Önen, E. I. Tatli et al. · 0 citations
Preprint Aug 2026

Generating Attacks for LLMs with GFlowNets

This study proposes an automated, human-independent, and adaptive approach leveraging GFlowNets to identify LLM vulnerabilities by utilizing one large language model to test another, and introduces a model capable of generating attack inputs in the Turkish language.

Berkay Ozcam, Irem Onen, M. Amasyalı et al. · 0 citations

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