Microsoft researchers have unveiled a sophisticated side-channel attack targeting remote language models that could allow adversaries to infer conversation topics from encrypted network traffic. Despite end-to-end encryption via Transport Layer Security (TLS), the attack exploits patterns in packet sizes and timing to classify the subject matter of user prompts sent to AI chatbots. The research […] The post New Whisper-Based Attack Reveals User Prompts Hidden Inside Encrypted AI Traffic appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
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