AI Defense Lab•Payment Security
Live API
Attack Lab/Adversarial Perturbation Attack

Adversarial Perturbation Attack

Creates controlled perturbations of known fraudulent transactions to test whether the fraud detection model can be evaded. Operates entirely on tabular transaction features — no documents or media artifacts. The Red Team tests whether plausible feature changes can move transactions across the model's decision boundary.

Attack Configuration

Maximum allowed change per feature (%)

20

Number of adversarial variants to generate

50

Evaluate against benign and adversarial transaction patterns together so performance is not overstated.

Generation Pipeline

Configuration Validated
Attack Generation
Artifacts Generated
Ready for Detection

Attack Info

TargetFraud detection model
Categorymodel
Scenarios4
Artifacts2 types