IEEE

Adversarial Attack on Deep Learning Model Detecting XSS

Abstract: Cross-Site Scripting (XSS) remains one of the most persistent vulnerabilities in web applications, necessitating robust detection mechanisms to counter increasingly sophisticated attack ...
IEEE

Balancing Transparency and Safety: A Framework for Responsible Disclosure of Adversarial Vulnerabilities in Aligned Language Models

Abstract: Despite their remarkable progress in producing text that resembles that of a person, large language models (LLMs) remain susceptible to adversarial prompts that can circumvent alignment ...