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"schema_version": 1,
"title": "Repro: Key Collision Attack on LLM Semantic Caching",
"emoji": "microscope",
"space_id": "snaykey/repro-cache-attack",
"paper": {
"openreview_id": "BQfNL1wahQ"
},
"tags": [
"icml2026-repro",
"paper-BQfNL1wahQ"
],
"updated_at": "2026-07-27T00:00:00+00:00",
"root": {
"slug": "index",
"title": "Repro: Key Collision Attack on LLM Semantic Caching",
"file": "pages/index.md",
"children": [
{
"slug": "executive-summary",
"title": "Executive summary",
"file": "pages/executive-summary/page.md",
"children": []
},
{
"slug": "claim-1",
"title": "CacheAttack-1 (direct target validation) achieves an 86.9% hit rate and 81.1% injection success rate against semantic caches in response hijacking attacks (Section 5, Table 1).",
"file": "pages/claim-1/page.md",
"children": []
},
{
"slug": "claim-2",
"title": "CacheAttack-2, a surrogate-assisted variant requiring no direct access to the target cache, achieves 83.1% hit rate and 77.1% injection success rate (Section 5, Table 1).",
"file": "pages/claim-2/page.md",
"children": []
},
{
"slug": "claim-3",
"title": "Semantic caching exhibits a fundamental trade-off between cache locality (performance) and collision resistance (security), formalized by modeling cache keys as fuzzy hashes (Section 3).",
"file": "pages/claim-3/page.md",
"children": []
},
{
"slug": "claim-4",
"title": "Cross-embedding-model transferability of the attack ranges from 49.8% to 86.9% hit rate depending on architectural similarity between source and target embedding models, versus over 92% hit rate in the in-model setting (Section 5, Table 3).",
"file": "pages/claim-4/page.md",
"children": []
},
{
"slug": "claim-5",
"title": "Key salting reduces attack hit rate by up to 21.0 percentage points, while per-user cache isolation eliminates cross-user attacks entirely but reduces cache efficiency (Section 7, Table 4).",
"file": "pages/claim-5/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
}
} |