Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Large language models (LLMs) are vulnerable to jailbreak attacks-resulting in harmful,
unethical, or biased text generations. However, existing jailbreaking methods are …

The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …

Governments are increasingly considering integrating autonomous AI agents in high-stakes
military and foreign-policy decision-making, especially with the emergence of advanced …

Adversarial misuse, particularly throughjailbreaking'that circumvents a model's safety and
ethical protocols, poses a significant challenge for Large Language Models (LLMs). This …

Generative models are rapidly gaining popularity and being integrated into everyday
applications, raising concerns over their safe use as various vulnerabilities are exposed. In …

Large language models (LLMs) are trained on a deluge of text data with limited quality
control. As a result, LLMs can exhibit unintended or even harmful behaviours, such as …

In this paper, we propose a new decoding method called Permute-and-Flip (PF) decoder. It
enjoys robustness properties similar to the standard sampling decoder, but is provably up to …

Large Language Models (LLMs) have become prevalent across diverse sectors,
transforming human life with their extraordinary reasoning and comprehension abilities. As …

In light of recent advancements in AI capabilities and the increasingly widespread
integration of AI systems into society, governments worldwide are actively seeking to …