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Benchmarks
Malicious client detection on CIFAR-10
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100
Precision
FLANDERS
58.4
69.2
80
90.8
Mar 29, 2023
Precision
Recall
Updated 1mo ago
Evaluation Results
Method
Method
Links
Precision
Recall
FLANDERS
Attack Strategy=GAUSS,...
2023.03
100
100
FLANDERS
Attack Strategy=LIE, M...
2023.03
100
100
FLANDERS
Attack Strategy=OPT, M...
2023.03
100
100
FLANDERS
Attack Strategy=AGR-MM...
2023.03
100
100
FLANDERS
Attack type=GAUSS, Att...
2023.03
100
100
FLANDERS
Attack type=LIE, Attac...
2023.03
100
100
FLANDERS
Attack type=OPT, Attac...
2023.03
100
100
FLANDERS
Attack type=AGR-MM, At...
2023.03
100
100
FLDetector
Attack Strategy=GAUSS,...
2023.03
80
80
FLDetector
Attack Strategy=LIE, M...
2023.03
80
80
FLDetector
Attack Strategy=OPT, M...
2023.03
80
80
FLDetector
Attack Strategy=AGR-MM...
2023.03
80
80
FLDetector
Attack type=LIE, Attac...
2023.03
61
61
FLDetector
Attack type=GAUSS, Att...
2023.03
60
60
FLDetector
Attack type=OPT, Attac...
2023.03
60
60
FLDetector
Attack type=AGR-MM, At...
2023.03
60
60
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