LLM Side-Channel Attack Exposes User Conversations

Microsoft researchers reported that a side-channel attack can enable unauthorized parties to infer the topics being discussed with large language models (LLMs). Models from providers such as Anthropic, AWS, DeepSeek, and Google remain vulnerable, affecting both personal users and enterprise communications. The attack exploits indirect signals like power consumption and timing to extract sensitive information.