MAI-2025-0019

This vulnerability pertains to several open-source Large Language Models LLMs, which are susceptible to adversarial attacks through the use of exponentiated gradient descent techniques. Attackers can exploit this vulnerability by crafting adversarial prompts that manipulate the models into...

Adversarial Attack on Large Language Models Using Exponentiated Gradient Descent

As Large Language Models LLMs are widely used, understanding them systematically is key to improving their safety and realizing their full potential. Although many models are aligned using techniques such as reinforcement learning from human feedback RLHF, they are still vulnerable to jailbreakin...