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Encryption protects content, not context Mischief-makers can guess the subjects being discussed with LLMs using a side-channel attack, according to Microsoft researchers. They told The Register that models from some providers, including Anthropic, AWS, DeepSeek, and Google, haven't been fixed, putting both personal users and enterprise communications at risk.…

Microsoft has disclosed details of a novel side-channel attack targeting remote language models that could enable a passive adversary with capabilities to observe network traffic to glean details about model conversation topics despite encryption protections under certain circumstances

A group of academic researchers from Georgia Tech, Purdue University, and Synkhronix have developed a side-channel attack called TEE.Fail that allows for the extraction of secrets from the trusted execution environment (TEE) in a computer's main processor, including Intel's Software Guard eXtensions (SGX) and Trust Domain Extensions (TDX) and AMD's Secure Encrypted Virtualization with Secure