cacheattack-job / cacheattack_partial.json
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partial cacheattack
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{
"name": "cacheattack",
"partial": true,
"elapsed_s": 1586.6,
"paper_ref": {
"c1": {
"HR": 86.9,
"ISR": 81.1
},
"c2": {
"HR": 83.1,
"ISR": 77.1
},
"c4": {
"diag_min": 92.0,
"off_min": 49.8,
"off_max": 86.9,
"abs_max": 94.0
},
"c5": {
"best_dHR": 21.0,
"best_dISR": 25.4
}
},
"environment": {
"python": "3.12.12",
"platform": "Linux-6.12.94-123.190.amzn2023.x86_64-x86_64-with-glibc2.36",
"torch": "2.13.0+cu130",
"cuda": true,
"device": "cuda",
"gpu": "Tesla T4",
"seed": 20260127,
"tau": 0.8,
"smoke": false,
"emb_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"
},
"llm_id": "Qwen/Qwen2.5-3B-Instruct",
"n_victims": 50,
"steps": 130,
"cands": 48,
"suffix_len": 32,
"c4_steps": 70,
"c4_cands": 32,
"n_c4_victims": 30,
"n_pairs_c3": 400,
"max_new_tokens": 48,
"wall_s": 2700.0,
"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": 78.0,
"paper_ISR_pct": 81.1,
"ISR_of_hits_pct": 86.7,
"isr_tested": 45,
"target_model": "MiniLM",
"n": 50,
"hits": 45,
"injections": 39,
"label": "Comparable",
"downstream_rag_injection_pct": 86.7,
"rag_n": 45
},
"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": 20.0,
"paper_ISR_pct": 77.1,
"ISR_of_hits_pct": 100.0,
"isr_tested": 10,
"surrogate_model": "MPNet",
"target_model": "MiniLM",
"n": 50,
"hits": 10,
"injections": 10,
"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": 64.0,
"dHR_pp": 26.0
},
"suffix": {
"HR_pct": 80.0,
"dHR_pp": 10.0
},
"template": {
"HR_pct": 34.0,
"dHR_pp": 56.0
}
},
"best_salt_mode": "template",
"best_dHR_pp": 56.0,
"salting_disclosure": "defender-only secret salt applied to the live victim key while the attacker's planted key was optimized on the unsalted surrogate; the one-sided salt perturbs the victim embedding away from the target the adversarial suffix was tuned to, so the precomputed collision misses -> measured HR drop",
"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"
},
"injection_model": "Qwen/Qwen2.5-3B-Instruct"
}