Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning. [PDF]
Apostolidis KD, Papakostas GA.
europepmc +1 more source
Breaking and Healing: GAN-Based Adversarial Attacks and Post-Adversarial Recovery for 5G IDSs
Generative 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
An improved genetic algorithm and its application in neural network adversarial attack. [PDF]
Yang D, Yu Z, Yuan H, Cui Y.
europepmc +1 more source
Untargeted white-box adversarial attack to break into deep leaning based COVID-19 monitoring face mask detection system. [PDF]
Sheikh BUH, Zafar A.
europepmc +1 more source
How Resilient Are Deep Learning Models in Medical Image Analysis? The Case of the Moment-Based Adversarial Attack (Mb-AdA). [PDF]
Maliamanis TV +2 more
europepmc +1 more source
Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition. [PDF]
Lal S +7 more
europepmc +1 more source
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu +5 more
doaj +1 more source
Deep learning models for electrocardiograms are susceptible to adversarial attack. [PDF]
Han X +5 more
europepmc +1 more source
A Distributed Black-Box Adversarial Attack Based on Multi-Group Particle Swarm Optimization. [PDF]
Suryanto N +5 more
europepmc +1 more source
Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations. [PDF]
Allyn J +4 more
europepmc +1 more source

