7 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 7 cited
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long, Qilong Zhang, Boheng Zeng +4
For black-box attacks, the gap between the substitute model and the victim model is usually large, which manifests as a weak attack performance. Motivated by the observation that t…
eess.SP2020★ 4 cited
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks
Haoqiang Guo, Lu Peng, Jian Zhang +2
Recent studies identify that Deep learning Neural Networks (DNNs) are vulnerable to subtle perturbations, which are not perceptible to human visual system but can fool the DNN mode…