partial cacheattack

cacheattack_partial.json

@@ -1,7 +1,7 @@
 {
  "name": "cacheattack",
  "partial": true,
- "elapsed_s": 1625.1,
+ "elapsed_s": 120.4,
  "paper_ref": {
   "c1": {
    "HR": 86.9,
@@ -53,442 +53,10 @@
   "data_source": "nyu-mll/glue/qqp:validation",
   "llm_loaded": "Qwen/Qwen2.5-3B-Instruct"
  },
- "claim_1": {
-  "desc": "CacheAttack-1 direct: HR & ISR vs paper 86.9/81.1 (Table 1)",
-  "measured_HR_pct": 90.0,
-  "paper_HR_pct": 86.9,
-  "measured_ISR_pct": 0.0,
-  "paper_ISR_pct": 81.1,
-  "target_model": "MiniLM",
-  "n": 50,
-  "hits": 45,
-  "injections": 0,
-  "label": "Comparable",
-  "downstream_rag_injection_pct": 0.0,
-  "rag_n": 40
- },
- "claim_2": {
-  "desc": "CacheAttack-2 surrogate->target: HR & ISR vs paper 83.1/77.1 (Table 1)",
-  "measured_HR_pct": 20.0,
-  "paper_HR_pct": 83.1,
-  "measured_ISR_pct": 0.0,
-  "paper_ISR_pct": 77.1,
-  "surrogate_model": "MPNet",
-  "target_model": "MiniLM",
-  "n": 50,
-  "hits": 10,
-  "injections": 0,
-  "label": "Toy"
- },
- "claim_3": {
-  "n_dup_pairs": 400,
-  "n_nondup_pairs": 400,
-  "models": {
-   "MiniLM": {
-    "cosine_gate": [
-     {
-      "tau": 0.7,
-      "locality_pct": 91.5,
-      "collision_risk_pct": 36.5,
-      "fp_lowerbound_pct": 30.6
-     },
-     {
-      "tau": 0.75,
-      "locality_pct": 85.0,
-      "collision_risk_pct": 27.0,
-      "fp_lowerbound_pct": 14.1
-     },
-     {
-      "tau": 0.8,
-      "locality_pct": 77.8,
-      "collision_risk_pct": 20.0,
-      "fp_lowerbound_pct": 0.0
-     },
-     {
-      "tau": 0.85,
-      "locality_pct": 64.5,
-      "collision_risk_pct": 13.2,
-      "fp_lowerbound_pct": 0.0
-     },
-     {
-      "tau": 0.9,
-      "locality_pct": 43.0,
-      "collision_risk_pct": 8.0,
-      "fp_lowerbound_pct": 0.0
-     }
-    ],
-    "lsh_fuzzyhash": [
-     {
-      "n_bits": 4,
-      "locality_pct": 47.2,
-      "collision_risk_pct": 27.0
-     },
-     {
-      "n_bits": 8,
-      "locality_pct": 29.2,
-      "collision_risk_pct": 11.0
-     },
-     {
-      "n_bits": 12,
-      "locality_pct": 18.0,
-      "collision_risk_pct": 4.2
-     },
-     {
-      "n_bits": 16,
-      "locality_pct": 12.8,
-      "collision_risk_pct": 2.0
-     },
-     {
-      "n_bits": 24,
-      "locality_pct": 6.2,
-      "collision_risk_pct": 0.5
-     }
-    ]
-   },
-   "MPNet": {
-    "cosine_gate": [
-     {
-      "tau": 0.7,
-      "locality_pct": 94.2,
-      "collision_risk_pct": 32.2,
-      "fp_lowerbound_pct": 28.1
-     },
-     {
-      "tau": 0.75,
-      "locality_pct": 90.5,
-      "collision_risk_pct": 25.0,
-      "fp_lowerbound_pct": 17.1
-     },
-     {
-      "tau": 0.8,
-      "locality_pct": 81.5,
-      "collision_risk_pct": 19.0,
-      "fp_lowerbound_pct": 0.6
-     },
-     {
-      "tau": 0.85,
-      "locality_pct": 65.5,
-      "collision_risk_pct": 12.2,
-      "fp_lowerbound_pct": 0.0
-     },
-     {
-      "tau": 0.9,
-      "locality_pct": 47.2,
-      "collision_risk_pct": 7.2,
-      "fp_lowerbound_pct": 0.0
-     }
-    ],
-    "lsh_fuzzyhash": [
-     {
-      "n_bits": 4,
-      "locality_pct": 54.8,
-      "collision_risk_pct": 23.8
-     },
-     {
-      "n_bits": 8,
-      "locality_pct": 28.5,
-      "collision_risk_pct": 7.5
-     },
-     {
-      "n_bits": 12,
-      "locality_pct": 18.5,
-      "collision_risk_pct": 2.8
-     },
-     {
-      "n_bits": 16,
-      "locality_pct": 14.0,
-      "collision_risk_pct": 1.2
-     },
-     {
-      "n_bits": 24,
-      "locality_pct": 4.8,
-      "collision_risk_pct": 0.2
-     }
-    ]
-   },
-   "BGE": {
-    "cosine_gate": [
-     {
-      "tau": 0.7,
-      "locality_pct": 99.5,
-      "collision_risk_pct": 63.2,
-      "fp_lowerbound_pct": 63.1
-     },
-     {
-      "tau": 0.75,
-      "locality_pct": 97.5,
-      "collision_risk_pct": 49.8,
-      "fp_lowerbound_pct": 48.5
-     },
-     {
-      "tau": 0.8,
-      "locality_pct": 92.0,
-      "collision_risk_pct": 35.0,
-      "fp_lowerbound_pct": 29.3
-     },
-     {
-      "tau": 0.85,
-      "locality_pct": 78.8,
-      "collision_risk_pct": 21.5,
-      "fp_lowerbound_pct": 0.3
-     },
-     {
-      "tau": 0.9,
-      "locality_pct": 58.2,
-      "collision_risk_pct": 10.0,
-      "fp_lowerbound_pct": 0.0
-     }
-    ],
-    "lsh_fuzzyhash": [
-     {
-      "n_bits": 4,
-      "locality_pct": 60.0,
-      "collision_risk_pct": 34.2
-     },
-     {
-      "n_bits": 8,
-      "locality_pct": 35.5,
-      "collision_risk_pct": 14.0
-     },
-     {
-      "n_bits": 12,
-      "locality_pct": 22.2,
-      "collision_risk_pct": 7.0
-     },
-     {
-      "n_bits": 16,
-      "locality_pct": 16.8,
-      "collision_risk_pct": 4.2
-     },
-     {
-      "n_bits": 24,
-      "locality_pct": 7.0,
-      "collision_risk_pct": 1.2
-     }
-    ]
-   },
-   "E5": {
-    "cosine_gate": [
-     {
-      "tau": 0.7,
-      "locality_pct": 100.0,
-      "collision_risk_pct": 99.8,
-      "fp_lowerbound_pct": 99.8
-     },
-     {
-      "tau": 0.75,
-      "locality_pct": 100.0,
-      "collision_risk_pct": 96.5,
-      "fp_lowerbound_pct": 96.5
-     },
-     {
-      "tau": 0.8,
-      "locality_pct": 100.0,
-      "collision_risk_pct": 87.2,
-      "fp_lowerbound_pct": 87.2
-     },
-     {
-      "tau": 0.85,
-      "locality_pct": 100.0,
-      "collision_risk_pct": 72.5,
-      "fp_lowerbound_pct": 72.5
-     },
-     {
-      "tau": 0.9,
-      "locality_pct": 95.2,
-      "collision_risk_pct": 46.5,
-      "fp_lowerbound_pct": 43.8
-     }
-    ],
-    "lsh_fuzzyhash": [
-     {
-      "n_bits": 4,
-      "locality_pct": 62.3,
-      "collision_risk_pct": 47.0
-     },
-     {
-      "n_bits": 8,
-      "locality_pct": 49.2,
-      "collision_risk_pct": 31.2
-     },
-     {
-      "n_bits": 12,
-      "locality_pct": 34.5,
-      "collision_risk_pct": 15.0
-     },
-     {
-      "n_bits": 16,
-      "locality_pct": 30.2,
-      "collision_risk_pct": 10.5
-     },
-     {
-      "n_bits": 24,
-      "locality_pct": 17.0,
-      "collision_risk_pct": 4.5
-     }
-    ]
-   },
-   "GTE": {
-    "cosine_gate": [
-     {
-      "tau": 0.7,
-      "locality_pct": 100.0,
-      "collision_risk_pct": 96.5,
-      "fp_lowerbound_pct": 96.5
-     },
-     {
-      "tau": 0.75,
-      "locality_pct": 100.0,
-      "collision_risk_pct": 89.0,
-      "fp_lowerbound_pct": 89.0
-     },
-     {
-      "tau": 0.8,
-      "locality_pct": 100.0,
-      "collision_risk_pct": 80.2,
-      "fp_lowerbound_pct": 80.2
-     },
-     {
-      "tau": 0.85,
-      "locality_pct": 99.2,
-      "collision_risk_pct": 68.0,
-      "fp_lowerbound_pct": 67.8
-     },
-     {
-      "tau": 0.9,
-      "locality_pct": 91.2,
-      "collision_risk_pct": 41.5,
-      "fp_lowerbound_pct": 35.9
-     }
-    ],
-    "lsh_fuzzyhash": [
-     {
-      "n_bits": 4,
-      "locality_pct": 65.2,
-      "collision_risk_pct": 47.2
-     },
-     {
-      "n_bits": 8,
-      "locality_pct": 49.0,
-      "collision_risk_pct": 26.8
-     },
-     {
-      "n_bits": 12,
-      "locality_pct": 32.5,
-      "collision_risk_pct": 10.8
-     },
-     {
-      "n_bits": 16,
-      "locality_pct": 25.5,
-      "collision_risk_pct": 8.0
-     },
-     {
-      "n_bits": 24,
-      "locality_pct": 16.0,
-      "collision_risk_pct": 3.2
-     }
-    ]
-   }
-  },
-  "note": "locality=P(match|paraphrase); collision_risk=P(match|non-duplicate); Lemma 3.1 bound = 1 - P(p not in B)/h",
-  "desc": "Locality(performance) vs collision-resistance(security) trade-off via cosine gate (Eq.1) + SimHash/LSH fuzzy hash (Eq.2), >=3 models, real dataset pairs, Lemma 3.1 FP bound",
-  "label": "Comparable"
- },
- "claim_4": {
-  "matrix": {
-   "MiniLM": {
-    "MiniLM": 83.3,
-    "MPNet": 0.0,
-    "BGE": 46.7,
-    "E5": 100.0,
-    "GTE": 100.0
-   },
-   "MPNet": {
-    "MiniLM": 10.0,
-    "MPNet": 80.0,
-    "BGE": 33.3,
-    "E5": 100.0,
-    "GTE": 100.0
-   },
-   "BGE": {
-    "MiniLM": 23.3,
-    "MPNet": 3.3,
-    "BGE": 96.7,
-    "E5": 100.0,
-    "GTE": 100.0
-   },
-   "E5": {
-    "MiniLM": 26.7,
-    "MPNet": 6.7,
-    "BGE": 53.3,
-    "E5": 100.0,
-    "GTE": 100.0
-   },
-   "GTE": {
-    "MiniLM": 26.7,
-    "MPNet": 6.7,
-    "BGE": 93.3,
-    "E5": 100.0,
-    "GTE": 100.0
-   }
-  },
-  "models": {
-   "MiniLM": "sentence-transformers/all-MiniLM-L6-v2",
-   "MPNet": "sentence-transformers/all-mpnet-base-v2",
-   "BGE": "BAAI/bge-small-en-v1.5",
-   "E5": "intfloat/e5-small-v2",
-   "GTE": "thenlper/gte-small"
-  },
-  "diag_min_pct": 80.0,
-  "diag_mean_pct": 92.0,
-  "off_min_pct": 0.0,
-  "off_max_pct": 100.0,
-  "range_pct": [
-   0.0,
-   100.0
-  ],
-  "desc": "Cross-embedding transfer matrix over diverse families; paper Table 4 range ~49.8%-93.4%, diagonal >0.92",
-  "paper_range_pct": [
-   49.8,
-   94.0
-  ],
-  "label": "Comparable"
- },
- "claim_5": {
-  "baseline_HR_pct": 90.0,
-  "salt_token_count": 5,
-  "salting": {
-   "prefix": {
-    "HR_pct": 90.0,
-    "dHR_pp": 0.0
-   },
-   "suffix": {
-    "HR_pct": 90.0,
-    "dHR_pp": 0.0
-   },
-   "template": {
-    "HR_pct": 92.0,
-    "dHR_pp": -2.0
-   }
-  },
-  "best_salt_mode": "prefix",
-  "best_dHR_pp": 0.0,
-  "salting_disclosure": "shared-literal input-salting inflates similarity for mean/CLS-pooled public embedders (no avalanche); measured dHR reported honestly and may be <= 0",
-  "isolation": {
-   "attacker_namespace": "user_A",
-   "victim_namespace": "user_B",
-   "shared_cache_attack_HR_pct": 90.0,
-   "isolated_cache_cross_user_attack_HR_pct": 0.0,
-   "cross_user_attack_eliminated": true,
-   "eff_legit_cross_user_reuse_shared_pct": 70.0,
-   "eff_legit_cross_user_reuse_isolated_pct": 0.0,
-   "cache_efficiency_cost_pp": 70.0,
-   "n_legit_pairs": 50,
-   "note": "per-user namespace eliminates cross-user planted-collision hits (HR->0) at the cost of losing all cross-user legitimate reuse (efficiency drop = measured shared-cache reuse rate)"
-  },
-  "desc": "Key salting reduces attack HR (paper best ~21.0pp, Table 5); per-user isolation eliminates cross-user hits at an efficiency cost",
-  "paper_best_dHR_pp": 21.0,
-  "label": "Comparable"
- },
+ "claim_1": null,
+ "claim_2": null,
+ "claim_3": null,
+ "claim_4": null,
+ "claim_5": null,
  "injection_model": "Qwen/Qwen2.5-3B-Instruct"
 }