Evaluation empirique de la s\'ecurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vuln\'erabilit\'es par exp\'erimentations de jailbreaks
Evaluation empirique de la s\'ecurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vuln\'erabilit\'es par exp\'erimentations de jailbreaks
Large Language models (LLMs) are transforming digital usage, particularly in text generation, image creation, information retrieval and code development. ChatGPT, launched by OpenAI in November 2022, quickly became a reference, prompting the emergence of competitors such as Google's Gemini. However, these technological advances raise new cybersecurity challenges, including prompt injection attacks, the circumvention of regulatory measures (jailbreaking), the spread of misinformation (hallucinations) and risks associated with deep fakes. This paper presents a comparative analysis of the security and alignment levels of ChatGPT and Gemini, as well as a taxonomy of jailbreak techniques associated with experiments.
Rafa?l Nouailles
GdR
计算技术、计算机技术
Rafa?l Nouailles.Evaluation empirique de la s\'ecurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vuln\'erabilit\'es par exp\'erimentations de jailbreaks[EB/OL].(2025-06-10)[2025-06-18].https://arxiv.org/abs/2506.10029.点此复制
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