Large language models (LLMs) trained on web-scale datasets raise substantial concerns
regarding permissible data usage. One major question is whether these models" memorize" …

Abstract Language models (LMs) derive their capabilities from extensive training on diverse
data, including copyrighted material. These models can memorize and generate content …

Large language models (LLMs) have advanced to encompass extensive knowledge across
diverse domains. Yet controlling what a large language model should not know is important …

Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

Current research in adversarial robustness of LLMs focuses on\textit {discrete} input
manipulations in the natural language space, which can be directly transferred to\textit …

Large Language Models (LLMs) often memorize sensitive, private, or copyrighted data
during pre-training. LLM unlearning aims to eliminate the influence of undesirable data from …