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03/10/2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information
Due to the gap between a substitute model and a victim model, the gradie...
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10/05/2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Unrestricted color attacks, which manipulate semantically meaningful col...
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07/12/2022
Frequency Domain Model Augmentation for Adversarial Attack
For black-box attacks, the gap between the substitute model and the vict...
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03/10/2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Defense models against adversarial attacks have grown significantly, but...
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03/09/2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
In recent years, the adversarial vulnerability of deep neural networks (...
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10/25/2021
Fast Gradient Non-sign Methods
Adversarial attacks make their success in fooling DNNs and among them, g...
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10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
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05/25/2021
Feature Space Targeted Attacks by Statistic Alignment
By adding human-imperceptible perturbations to images, DNNs can be easil...
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04/20/2021
Staircase Sign Method for Boosting Adversarial Attacks
Crafting adversarial examples for the transfer-based attack is challengi...
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12/31/2020
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Although great progress has been made on adversarial attacks for deep ne...
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07/14/2020
