42 citations · 94 across the 32 of their papers we have counts for
Showing 2020Show all
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cs.CV2020★ 8 cited
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms
Xin Ding, Yongwei Wang, Zuheng Xu +2
This work proposes the continuous conditional generative adversarial network (CcGAN), the first generative model for image generation conditional on continuous, scalar conditions (…
cs.CV2020★ 3 cited
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification
Yongwei Wang, Mingquan Feng, Rabab Ward +2
Deep neural networks are vulnerable to adversarial attacks. White-box adversarial attacks can fool neural networks with small adversarial perturbations, especially for large size i…
cs.CV2020
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection
Yongwei Wang, Xin Ding, Li Ding +2
Recently, generative adversarial networks (GANs) can generate photo-realistic fake facial images which are perceptually indistinguishable from real face photos, promoting research…