Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
An interesting attempt to explore inverse adversarial attacks to enhance adversarial robustness.
Jul 25, 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
A frequency-driven approach to enhancing model robustness against adversarial attacks.
Jul 15, 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
This is an interesting attempt to apply graph neural networks to visual tasks.
May 1, 2024