Jun 27, 2022 · The authors investigate the impact of two white-box attacks on a gender classifier and contrast a defence method as a countermeasure.
The authors investigate the impact of two white‐box attacks on a gender classifier and contrast a defence method as a countermeasure. Then, using adversarial ...
The authors investigate the impact of two white-box attacks on a gender classifier and contrast a defence method as a countermeasure. Then, using adversarial ...
The authors investigate the impact of two white‐box attacks on a gender classifier and contrast a defence method as a countermeasure. Then, using adversarial ...
Most deep learning-based image classification models are vulnerable to adversarial attacks that introduce imperceptible changes to the input images for the ...
... In this extension, we study the transferability using variable perturbations from two attacks. The comparisons are between images with different ...
Our experiments show that this attack is transferable from a gender classifier to a face recognition classifier where both were independently trained. Index ...
Missing: variable | Show results with:variable
Transferability analysis of adversarial attacks on gender classification to face recognition: Fixed and variable attack perturbation ; dc.date.available, 2023-03 ...
The authors investigate the impact of two white-box attacks on a gender classifier and contrast a defence method as a countermeasure. Then, using adversarial ...
Transferability analysis of adversarial attacks on gender classification to face recognition: Fixed and variable attack perturbation. Z Rezgui, A Bassit, R ...