2 papers
cs.AI2024
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation
Yating Ma, Xiaogang Xu, Liming Fang +1
Current Transferable Adversarial Examples (TAE) are primarily generated by adding Adversarial Noise (AN). Recent studies emphasize the importance of optimizing Data Augmentation (D…
cs.CV2022
An Effective Fusion Method to Enhance the Robustness of CNN
Yating Ma, Zhichao Lian
With the development of technology rapidly, applications of convolutional neural networks have improved the convenience of our life. However, in image classification field, it has…