Tag
#adversarial-examples
5 posts tagged adversarial-examples.
- primer
Adversarial Examples vs. Data Poisoning: Timing Is Everything
Adversarial examples attack a deployed model at inference; data poisoning attacks the model before it is deployed.
- attacks
Adversarial Patch Attacks: Physical Perturbations That Fool ML
Adversarial patches are large, visible, localized perturbations designed to survive physical-world conditions — printing, lighting, and camera optics.
- attacks
Universal Adversarial Perturbations: One Vector That Fools Inputs
Unlike per-image attacks, universal adversarial perturbations are input-agnostic: a single crafted noise vector causes misclassification across virtually
- attacks
Evasion Attacks on Image Classifiers: FGSM, PGD, and C&W
The three foundational gradient-based evasion attacks, what each one actually optimizes, and what the benchmark numbers mean when you're evaluating a defense.
- attacks
Adversarial Transferability: Why Black-Box Attacks Work at All
Adversarial examples transfer across models with different architectures and training sets. Understanding why changes what you think defenses need to