Advanced Intelligent SystemsImage preprocessing models are usually employed as the preceding operations of highâlevel vision tasks to improve the performance. The adversarial attack technology makes both these models face severe challenges.
Xueshuai Gao +6 more
doaj +1 more source
ELAA: An Ensemble-Learning-Based Adversarial Attack Targeting Image-Classification Model. [PDF]
Entropy (Basel), 2023 Fu Z, Cui X.
europepmc +1 more source
Traffic adversarial example attack and defense method based on explainable artificial intelligence
Tongxin xuebaoAn adversarial example attack method based on XAI was proposed for AI-based NIDS. By identifying critical perturbation features with XAI and applying targeted perturbations while preserving traffic functionality, malicious traffic was gradually altered ...
MA Bowen +4 more
doaj
SAR Image Ship Target Detection Adversarial Attack and Defence Generalization Research. [PDF]
Sensors (Basel), 2023 Gao W, Liu Y, Zeng Y, Liu Q, Li Q.
europepmc +1 more source
Boosting Adversarial Transferability Through Adversarial Attack Enhancer
Adversarial attacks against deep learning models achieve high performance in white-box settings but often exhibit low transferability in black-box scenarios, especially against defended models.
Hong Huang, Wenli Zeng, Jixin Chen
core +1 more source
Rigid Body Adversarial Attacks
2025 International Conference on 3D Vision (3DV)Due to their performance and simplicity, rigid body simulators are often used in applications where the objects of interest can considered very stiff. However, no material has infinite stiffness, which means there are potentially cases where the non-zero compliance of the seemingly rigid object can cause a significant difference between its ...
Aravind Ramakrishnan +2 more
openaire +4 more sources
The Threat of Adversarial Attack on a COVID-19 CT Image-Based Deep Learning System. [PDF]
Bioengineering (Basel), 2023 Li Y, Liu S.
europepmc +1 more source
Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning. [PDF]
J Imaging, 2022 Apostolidis KD, Papakostas GA.
europepmc +1 more source
An improved genetic algorithm and its application in neural network adversarial attack. [PDF]
PLoS One, 2022 Yang D, Yu Z, Yuan H, Cui Y.
europepmc +1 more source
Breaking and Healing: GAN-Based Adversarial Attacks and Post-Adversarial Recovery for 5G IDSs
IEEE AccessGenerative adversarial networks (GANs) have advanced rapidly in data augmentation and generation, and researchers have been exploring their applications in other areas, including adversarial attack generation.
Yasmeen Alslman +2 more
doaj +1 more source