Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations Generation.
Sign Up to like & getrecommendations! Published in 2024 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2025.3630185
Abstract: This work studies sparse adversarial perturbations, including both unstructured and structured ones. We propose a framework based on a white-box PGD-like attack method named Sparse-PGD to effectively and efficiently generate such perturbations. Furthermore, we combine… read more here.
Keywords: adversarial perturbations; sparse pgd; pgd; sparse adversarial ... See more keywords
Sparse adversarial attack based on ℓq-norm for fooling the face anti-spoofing neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.2.023023
Abstract: Abstract. Neural networks are vulnerable to various adversarial perturbations added to the input. Highly sparse adversarial perturbations are difficult to identify, which is especially dangerous to network security. Previous research has shown that ℓ0-norm has… read more here.
Keywords: neural networks; attack; anti spoofing; sparse adversarial ... See more keywords
Fast sparse adversarial attack for synthetic aperture radar target recognition
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.19.016502
Abstract: Abstract. With the rapid development of artificial intelligence technology, deep learning has achieved significant advantages in synthetic aperture radar automatic target recognition (SAR-ATR). However, previous research showed that the addition of small perturbations not easily… read more here.
Keywords: synthetic aperture; attack; recognition; adversarial attack ... See more keywords