AI Paper Atlas

Research map / Adversarial robustness and security / Black-box and transfer attacks

Improving Transferability of Adversarial Patches on Face Recognition With Generative Models

CVPR 2021 · Adversarial robustness and security › Black-box and transfer attacks · approach: Transfer attacks on face recognition · 124 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
constrain patch optimization to a face-image generator manifoldTAP-TIDIM adversarial patches · CelebA-HQ face verification dodging; ArcFace substitute, CosFace targetsuccess rate: 0.2975 -> 0.6100Helped
initialize the patch with the target identity face (ablation)TAP-TIDIM impersonation attack · CelebA-HQ face verification impersonation; ArcFace substitute, CosFace targetsuccess rate: 0.3675 -> 0.4975Helped
increase the maximum perturbation bound epsilon (ablation)TAP-TIDIM · LFW face verification impersonation, black-box modelssuccess rateMixed
train StyleGAN2 on human face images rather than CAR images (ablation)GenAP · CelebA-HQ face verification impersonation; ArcFace substitute, CosFace targetsuccess rate: 0.0950 -> 0.5828Helped
use a face-trained generator rather than a randomly initialized generator (ablation)GenAP · CelebA-HQ face verification impersonation; ArcFace substitute, CosFace targetsuccess rate: 0.0100 -> 0.5828Helped
use StyleGAN2 rather than ProGAN (ablation)GenAP · CelebA-HQ face verification impersonation; ArcFace substitute, CosFace targetsuccess rate: 0.2375 -> 0.5825Helped
optimize in W+ plus noise rather than W space (ablation)GenAP · CelebA-HQ face verification impersonation; ArcFace substitute, CosFace targetsuccess rate: 0.4775 -> 0.5825Helped
optimize in W+ plus noise rather than Z space (ablation)GenAP · CelebA-HQ face verification impersonation; ArcFace substitute, CosFace targetsuccess rate: 0.1125 -> 0.5825Helped
add diversified input transformations to GenAP (ablation)GenAP · Face recognition black-box attackssuccess rateNo clear effect
optimize adversarial face features rather than paste the target's face region directlyGenAP · CelebA-HQ face verification impersonation; ArcFace substitute, CosFace targetsuccess rate: 0.3700 -> 0.5825Helped
use GenAP instead of SemanticAdv in the patch settingFace verification impersonation · CelebA black-box attack; ArcFace substitute, CosFace targetsuccess rate: 0.19 -> 0.51Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy