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Backdoor Defense (BadNet/Blended/SSBA) on CIFAR-10 (test)

94.31Clean AccuracyNo defense
63.827671.741379.65587.5687Dec 4, 2024Mar 7, 2025Jun 9, 2025Sep 10, 2025Dec 13, 2025Mar 16, 2026Jun 18, 2026

Evaluation results

MethodLinks
No defenseQuantization=8-bit, Attack Scenario=Exploiting LLM2026.0694.31——————97.49
Gaussian NoiseQuantization=8-bit, Attack Scenario=Exploiting LLM2026.0693.99——————6.77
LACQuantization=4-bit, Attack Scenario=Qu-Anti-zation2026.0693.78——————0.85
No defenseQuantization=4-bit, Attack Scenario=Exploiting LLM2026.0693.74——————97.47
LACQuantization=8-bit, Attack Scenario=Exploiting LLM2026.0693.51——————0.52
LACQuantization=8-bit, Attack Scenario=Qu-Anti-zation2026.0693.44——————9.22
Gaussian NoiseQuantization=4-bit, Attack Scenario=Exploiting LLM2026.0693.43——————31.37
EFRAPQuantization=8-bit, Attack Scenario=Exploiting LLM2026.0693.39——————0.33
QVec (0.95)Quantization=8-bit, Attack Scenario=Exploiting LLM2026.0693.32——————0.5
QVec (0.98)Quantization=8-bit, Attack Scenario=Exploiting LLM2026.0693.32——————0.5
EFRAPQuantization=4-bit, Attack Scenario=Qu-Anti-zation2026.0693.3——————0.97
No-defensePDR=0.005, Attack Type=BadNet, Backbone=VGG19_BN2024.1293.22——————83.89
No-defensePDR=0.05, Attack Type=SIG, Backbone=VGG19_BN2024.1293.2——————93.77
EFRAPQuantization=8-bit, Attack Scenario=Qu-Anti-zation2026.0693.19——————23.9
LACQuantization=4-bit, Attack Scenario=Exploiting LLM2026.0693.18——————0.6
No-defensePDR=0.01, Attack Type=BadNet, Backbone=VGG19_BN2024.1293.17——————87.12
No-defensePDR=0.05, Attack Type=Blended, Backbone=VGG19_BN2024.1293.11——————99.44
No-defensePDR=0.02, Attack Type=Blended, Backbone=VGG19_BN2024.1293.07——————98.54
EFRAPQuantization=4-bit, Attack Scenario=Exploiting LLM2026.0692.84——————0.65
No defenseQuantization=4-bit, Attack Scenario=Qu-Anti-zation2026.0692.73——————97.52
No-defensePDR=0.005, Attack Type=Blended, Backbone=VGG19_BN2024.1292.62——————97.89
No-defensePDR=0.05, Attack Type=BadNet, Backbone=VGG19_BN2024.1292.52——————94.3
No-defensePDR=0.02, Attack Type=BadNet, Backbone=VGG19_BN2024.1292.51——————90.39
QVec (0.98)Quantization=4-bit, Attack Scenario=Exploiting LLM2026.0692.48——————0.71
No-defensePDR=0.01, Attack Type=Blended, Backbone=VGG19_BN2024.1292.35——————95.47
No-defensePDR=0.005, Attack Type=SIG, Backbone=VGG19_BN2024.1292.23——————76.95
Gaussian NoiseQuantization=8-bit, Attack Scenario=Qu-Anti-zation2026.0692.23——————25.61
No-defensePDR=0.02, Attack Type=SIG, Backbone=VGG19_BN2024.1291.68——————88.6
QVec (0.98)Quantization=8-bit, Attack Scenario=Qu-Anti-zation2026.0691.52——————0.43
No-defensePDR=0.01, Attack Type=SIG, Backbone=VGG19_BN2024.1291.47——————80.48
QVec (0.98)Quantization=4-bit, Attack Scenario=Qu-Anti-zation2026.0691.4——————1.74
No defenseQuantization=8-bit, Attack Scenario=Qu-Anti-zation2026.0690.23——————98.24
FSTPDR=0.05, Attack Type=Blended, Backbone=VGG19_BN2024.1289.81——————23.99
QVec (0.95)Quantization=4-bit, Attack Scenario=Exploiting LLM2026.0689.79——————1.19
PBPPDR=0.05, Attack Type=Blended, Backbone=VGG19_BN2024.1289.63——————4.63
PBPPDR=0.02, Attack Type=BadNet, Backbone=VGG19_BN2024.1289.26——————2.41
FSTPDR=0.05, Attack Type=BadNet, Backbone=VGG19_BN2024.1289.1——————2.61
FSTPDR=0.01, Attack Type=BadNet, Backbone=VGG19_BN2024.1289.04——————1.53
PBPPDR=0.005, Attack Type=BadNet, Backbone=VGG19_BN2024.1288.97——————2.44
FSTPDR=0.02, Attack Type=Blended, Backbone=VGG19_BN2024.1288.94——————24.75
PBPPDR=0.01, Attack Type=BadNet, Backbone=VGG19_BN2024.1288.9——————2
QVec (0.95)Quantization=8-bit, Attack Scenario=Qu-Anti-zation2026.0688.83——————0.14
FSTPDR=0.005, Attack Type=Blended, Backbone=VGG19_BN2024.1288.79——————28.19
PBPPDR=0.02, Attack Type=Blended, Backbone=VGG19_BN2024.1288.73——————5.21
PBPPDR=0.01, Attack Type=Blended, Backbone=VGG19_BN2024.1288.7——————9.4
FSTPDR=0.01, Attack Type=Blended, Backbone=VGG19_BN2024.1288.67——————29.1
FSTPDR=0.05, Attack Type=SIG, Backbone=VGG19_BN2024.1288.65——————8.73
PBPPDR=0.05, Attack Type=BadNet, Backbone=VGG19_BN2024.1288.51——————3.03
FSTPDR=0.005, Attack Type=BadNet, Backbone=VGG19_BN2024.1288.49——————2.02
QVec (0.95)Quantization=4-bit, Attack Scenario=Qu-Anti-zation2026.0688.34——————1.79
FSTPDR=0.02, Attack Type=BadNet, Backbone=VGG19_BN2024.1288.23——————2.13
PBPPDR=0.05, Attack Type=SIG, Backbone=VGG19_BN2024.1287.4——————0.65
FSTPDR=0.005, Attack Type=SIG, Backbone=VGG19_BN2024.1287.29——————17.14
PBPPDR=0.005, Attack Type=Blended, Backbone=VGG19_BN2024.1287.25——————10.32
FSTPDR=0.01, Attack Type=SIG, Backbone=VGG19_BN2024.1287.01——————13.12
FSTPDR=0.02, Attack Type=SIG, Backbone=VGG19_BN2024.1287——————6.18
PBPPDR=0.005, Attack Type=SIG, Backbone=VGG19_BN2024.1286.47——————0.82
FedAvgAttack Type=A3FL, Data Distribution (Dirichlet alpha)=0.52025.0586.36——————92.47
PBPPDR=0.01, Attack Type=SIG, Backbone=VGG19_BN2024.1286.27——————4.02
PBPPDR=0.02, Attack Type=SIG, Backbone=VGG19_BN2024.1286.11——————1.83
ProtoGuard-SLAttack=SplitNN attack2026.0485——————5
Gaussian NoiseQuantization=4-bit, Attack Scenario=Qu-Anti-zation2026.0684.7——————97.33
FeRAAttack Type=A3FL, Data Distribution (Dirichlet alpha)=0.52025.0584.26——————1.26
ProtoGuard-SLAttack=BadVFL2026.0484——————3
ProtoGuard-SLAttack=VILLAIN attack2026.0483——————6
DeepSightAttack Type=A3FL, Data Distribution (Dirichlet alpha)=0.52025.0580.84——————91.85
No defenseAttack=VILLAIN attack2026.0480——————92
No defenseAttack=BadVFL2026.0479——————89
DPAttack=SplitNN attack2026.0479——————73
HACSFT Multi-MetricsAttack=DBA, m=82025.0978.74——————3.84
HACSFT Multi-MetricsAttack=BadNet, m=82025.0978.56——————3.1
HACSFT FlameAttack=BadNet, m=82025.0978.24——————3.33
HACSFT FlameAttack=Neurotoxin, m=82025.0978.21——————3.18
HACSFT Multi-MetricsAttack=Replacement, m=82025.0978.05——————3.3
HACSFT Multi-MetricsAttack=Neurotoxin, m=82025.0977.79——————3.2
HACSFT FlameAttack=Replacement, m=82025.0977.62——————3.93
HACSFT FlameAttack=DBA, m=82025.0977.37——————3.77
No defenseAttack=SplitNN attack2026.0477——————95
DPAttack=BadVFL2026.0477——————68
ANPAttack=VILLAIN attack2026.0477——————66
ANPAttack=BadVFL2026.0476——————65
RLRAttack Type=A3FL, Data Distribution (Dirichlet alpha)=0.52025.0575.26——————92.36
HACSFT KrumAttack=Replacement, m=82025.0974.8——————21.69
HACSFT KrumAttack=Neurotoxin, m=82025.0974.52——————3.96
HACSFT KrumAttack=BadNet, m=82025.0974.37——————4.04
DPAttack=VILLAIN attack2026.0474——————77
MPAttack=VILLAIN attack2026.0474——————67
ANPAttack=SplitNN attack2026.0474——————67
HACSFT KrumAttack=DBA, m=82025.0972.5——————3.61
MPAttack=SplitNN attack2026.0472——————70
MPAttack=BadVFL2026.0472——————78
VFLIPAttack=SplitNN attack2026.0472——————33
VFLIPAttack=BadVFL2026.0466——————28
VFLIPAttack=VILLAIN attack2026.0465——————35
ANPMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=1%2024.10—0.93410.0060.93840.00290.94610.0113—
ANPMode=P-Robustness, Backbone=ResNet-18, Poisoning Rate=1%2024.10—0.94320.87110.94490.00820.94370.4821—
AttackMode=O-Backdoor, Backbone=ResNet-18, Poisoning Rate=1%2024.10—0.947710.9490.99120.94940.7998—
BAUMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=1%2024.10—0.92640.06890.92640.03670.93180.0281—
BAUMode=P-Robustness, Backbone=ResNet-18, Poisoning Rate=1%2024.10—0.93880.95670.93920.99910.94140.5804—
BTIMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=1%2024.10—0.92890.01440.92820.01060.9290.0152—