Generative AI (GenAI) represents a shift from AI's ability to “recognize” to its ability to
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …

Large language models (LLMs) are increasingly deployed as the backend for various
applications, including code completion tools and AI-powered search engines. Unlike …

Large language models (LLMs) have demonstrated impressive capabilities in natural
language processing. However, their internal mechanisms are still unclear and this lack of …

Abstract Generative Pre-trained Transformer (GPT) models have exhibited exciting progress
in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the …

Despite advances in AI alignment, large language models (LLMs) remain vulnerable to
adversarial attacks or jailbreaking, in which adversaries can modify prompts to induce …

Pre-trained language models (LMs) are shown to easily generate toxic language. In this
work, we systematically explore domain-adaptive training to reduce the toxicity of language …

The wide-ranging applications of large language models (LLMs), especially in safety-critical
domains, necessitate the proper evaluation of the LLM's adversarial robustness. This paper …

The accessibility of online hate speech has increased significantly, making it crucial for
social-media companies to prioritize efforts to curb its spread. Although deep learning …

It is a challenging task to fool a text classifier based on deep neural networks under the
black-box setting where the target model can only be queried. Among the existing black-box …

Large language models (LLMs) have exhibited remarkable efficacy and proficiency in a
wide array of NLP endeavors. Nevertheless, concerns are growing rapidly regarding the …