Three academic papers reveal side-channel vulnerabilities in LLM systems that leak sensitive information through timing patterns and network traffic metadata. Attackers can infer conversation topics with 90%+ accuracy, distinguish specific messages, recover PII like phone numbers, and fingerprint user queries—even through TLS

3m read time From schneier.com
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