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11/21/2022
Efficient Generalization Improvement Guided by Random Weight Perturbation
To fully uncover the great potential of deep neural networks (DNNs), var...
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08/12/2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks
The wide application of deep neural networks (DNNs) demands an increasin...
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05/26/2022
Trainable Weight Averaging for Fast Convergence and Better Generalization
Stochastic gradient descent (SGD) and its variants are commonly consider...
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05/24/2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
The score-based query attacks (SQAs) pose practical threats to deep neur...
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11/24/2021
Subspace Adversarial Training
Single-step adversarial training (AT) has received wide attention as it ...
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10/23/2020