--- title: Schneier on Security | daily.dev description: Three academic papers reveal side-channel vulnerabilities in LLM systems that leak sensitive information through timing patterns and network traffic metadata.... canonical: https://daily.dev/posts/schneier-on-security-uwxcjwgce twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Schneier on Security | daily.dev og:description: Three academic papers reveal side-channel vulnerabilities in LLM systems that leak sensitive information through timing patterns and network traffic metadata.... og:url: https://daily.dev/posts/schneier-on-security-uwxcjwgce og:image: https://api.daily.dev/og/posts/uwXcJWgcE.png og:image:alt: Schneier on Security og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Schneier on Security **[Schneier on Security](https://daily.dev/sources/schneier)** · 3 min read · 0 upvotes · 0 comments ## Summary 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 encryption—by analyzing packet sizes and response timing. The attacks exploit efficiency optimizations like speculative decoding and affect major production systems including ChatGPT and Claude. Proposed mitigations like padding and token batching reduce but don't eliminate the threat. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Schneier on Security](https://daily.dev/posts/schneier-on-security-aryryygjo) · Schneier on Security · 1 upvotes · 1 comments --- Tags: [#security](https://daily.dev/tags/security), [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#privacy](https://daily.dev/tags/privacy), [#cryptography](https://daily.dev/tags/cryptography) [View this post on daily.dev](https://daily.dev/posts/schneier-on-security-uwxcjwgce) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Schneier on Security","url":"https://daily.dev/posts/schneier-on-security-uwxcjwgce","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/schneier-on-security-uwxcjwgce"},"datePublished":"2026-02-17T12:06:15.265Z","dateModified":"2026-02-17T12:06:34.256Z","description":"Three academic papers reveal side-channel vulnerabilities in LLM systems that leak sensitive information through timing patterns and network traffic metadata....","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/1911d8ad546a1ac3a24013bdbb866785?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/1911d8ad546a1ac3a24013bdbb866785?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Schneier on Security","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Schneier on Security","logo":"https://media.daily.dev/image/upload/s--0aZDA7eZ--/f_auto/v1758461069/logos/schneier","url":"https://daily.dev/sources/schneier"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/schneier-on-security-uwxcjwgce","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"security,machine-learning,llm,privacy,cryptography","timeRequired":"PT3M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Schneier on Security","item":"https://daily.dev/sources/schneier"},{"@type":"ListItem","position":3,"name":"Schneier on Security"}]} ```