Salient object detection dataset with adversarial attacks for genetic programming and neural networks. [PDF]
Data BriefOlague M +3 more
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Benchmarking Transferable Adversarial Attacks
The robustness of deep learning models against adversarial attacks remains a pivotal concern. This study presents, for the first time, an exhaustive review of the transferability aspect of adversarial attacks. It systematically categorizes and critically
Zhu, Zhiyu +3 more
core
Auto encoder-based defense mechanism against popular adversarial attacks in deep learning. [PDF]
PLoS OneAshraf SN, Siddiqi R, Farooq H.
europepmc +1 more source
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks. [PDF]
IEEE J Biomed Health InformBaytas IM.
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Generalised Defences Against Adversarial Attacks
Machine learning (ML) models have revolutionised numerous fields, such as healthcare, finance, and transportation. However, this success comes with a cost, as concerns have emerged about the vulnerabilities of systems that rely on ML models.
Chang, Luke Xinglong
core
Defense against adversarial attacks: robust and efficient compressed optimized neural networks. [PDF]
Sci RepKraidia I, Ghenai A, Belhaouari SB.
europepmc +1 more source
Three-Dimensional Reconstruction Pre-Training as a Prior to Improve Robustness to Adversarial Attacks and Spurious Correlation. [PDF]
Entropy (Basel)Yamada Y +3 more
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Adversarial Attacks against Deep-Learning-Based Automatic Dependent Surveillance-Broadcast Unsupervised Anomaly Detection Models in the Context of Air Traffic Management. [PDF]
Sensors (Basel)Luo P, Wang B, Tian J, Liu C, Yang Y.
europepmc +1 more source
How Adversarial attacks affect Deep Neural Networks Detecting COVID-19?
, 2021 Gougeh RA.
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