Microsoft has revealed a novel side-channel attack that targets remote language models. This attack allows a passive adversary, capable of observing network traffic, to infer conversation topics exchanged between users and streaming-mode language models. Such a leakage, occurring under specific circumstances where encryption fails to provide adequate protection, could lead to significant risks.
The implications of this vulnerability are profound, as it raises concerns about the confidentiality of data shared in interactions with AI models. Organizations using these technologies must assess their security measures to mitigate potential exposure from such attacks. As AI continues to evolve, understanding these vulnerabilities is crucial for ensuring the privacy and security of user interactions with language models.
👉 Pročitaj original: The Hacker News
