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Image Classification on CIFAR-10 (test) (Including Backdoor Evaluation)

71Overall AccuracyRFLPA
8.624.84157.2May 24, 2024

Evaluation results

MethodLinks
RFLPAAttack Type=KRUM attack, Percentage of attackers=10%2024.0571—
RFLPAAttack Type=BadNets, Percentage of attackers=10%2024.05710.68
RFLPAAttack Type=KRUM attack, Percentage of attackers=20%2024.0570—
RFLPAAttack Type=KRUM attack, Percentage of attackers=30%2024.0570—
RFLPAAttack Type=BadNets, Percentage of attackers=20%2024.05700.68
FedAvgAttack Type=Scaling attack, Percentage of attackers=10%2024.05700.22
RFLPAAttack Type=Scaling attack, Percentage of attackers=10%2024.05700.69
RFLPAAttack Type=Scaling attack, Percentage of attackers=20%2024.05700.69
RFLPAAttack Type=BadNets, Percentage of attackers=30%2024.05690.66
RFLPAAttack Type=Scaling attack, Percentage of attackers=30%2024.05690.69
FedAvgAttack Type=BadNets, Percentage of attackers=10%2024.05680.54
FedAvgAttack Type=Scaling attack, Percentage of attackers=20%2024.05680.21
FedAvgAttack Type=BadNets, Percentage of attackers=20%2024.05670.54
FedAvgAttack Type=BadNets, Percentage of attackers=30%2024.05550.28
FedAvgAttack Type=Scaling attack, Percentage of attackers=30%2024.05540.19
FedAvgAttack Type=KRUM attack, Percentage of attackers=10%2024.0527—
FedAvgAttack Type=KRUM attack, Percentage of attackers=20%2024.0512—
FedAvgAttack Type=KRUM attack, Percentage of attackers=30%2024.0511—