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07/21/2023
Improving Transferability of Adversarial Examples via Bayesian Attacks
This paper presents a substantial extension of our work published at ICL...
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04/26/2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
Intermediate-level attacks that attempt to perturb feature representatio...
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02/10/2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
The transferability of adversarial examples across deep neural networks ...
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05/23/2022
Collaborative Adversarial Training
The vulnerability of deep neural networks (DNNs) to adversarial examples...
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03/21/2022
An Intermediate-level Attack Framework on The Basis of Linear Regression
This paper substantially extends our work published at ECCV, in which an...
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03/06/2022
On Steering Multi-Annotations per Sample for Multi-Task Learning
The study of multi-task learning has drawn great attention from the comm...
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12/07/2020
Backpropagating Linearly Improves Transferability of Adversarial Examples
The vulnerability of deep neural networks (DNNs) to adversarial examples...
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12/04/2020
Practical No-box Adversarial Attacks against DNNs
The study of adversarial vulnerabilities of deep neural networks (DNNs) ...
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08/20/2020