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Adversarial Attack Detection research benchmarks – Page 2 · SOTA2 Research

Adversarial Attack Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

LLaVA M-Attack in-domain

98.8Precision

5

May 11, 2026

LLaVA SSA-CWA in-domain

99Precision

5

May 11, 2026

NIPS FOA-Attack in-domain 17

100Precision

5

May 11, 2026

NIPS SSA-CWA in-domain 17

100Precision

5

May 11, 2026

NIPS, LLaVA, and Medical Cross-attack 17 (test)

2.5Delta Precision

5

May 11, 2026

NIPS LLaVA and Medical Cross-domain 17 (test)

96.8Precision

5

May 11, 2026

NIPS17, LLaVA, and Medical In-domain (test)

98.3Precision

5

May 11, 2026

CARLA generated dataset (test)

100Accuracy

5

Feb 26, 2026

99.98Robustness (BIM)

5

Feb 26, 2026

Face dataset AMT-GAN attack

Perturbation Forgery

0.922AUROC

5

Feb 26, 2026

Face dataset Adv-Makeup attack

Perturbation Forgery

0.976AUROC

5

Feb 26, 2026

Face dataset Adv-Mask attack

Perturbation Forgery

99.99AUROC

5

Feb 26, 2026

Face dataset Adv-Glasses attack

Perturbation Forgery

99.99AUROC

5

Feb 26, 2026

Face dataset Adv-Sticker attack

Perturbation Forgery

1AUROC

5

Feb 26, 2026

Face dataset TIPIM attack

Perturbation Forgery

0.989AUROC

5

Feb 26, 2026

ImageNet l-infinity, epsilon=4/255, 1000 samples (test)

0.78Kendall Tau Correlation

5

Feb 26, 2026

Privacy Extraction Attack Dataset

94.5Positive Rate

3

Apr 28, 2026

Adaptive Threshold Evasion

SpectralGuard (Multi-Layer)

94.1Precision

2

Mar 16, 2026

Cross-architecture Transfer (Split)

SpectralGuard (Multi-Layer)

0.891F1 Score

1

Mar 16, 2026

Adaptive Multi-layer-aware Split

SpectralGuard (Multi-Layer)

88.9Precision

1

Mar 16, 2026

Currency Exchange Rate

1Offline FRR

1

Feb 26, 2026

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