activity
20192023
most citedTowards a Robust Deep Neural Network in Texts: A Survey

27 citations · 54 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Dual-level Interaction for Domain Adaptive Semantic Segmentation

Dongyu Yao, Boheng Li

Self-training approach recently secures its position in domain adaptive semantic segmentation, where a model is trained with target domain pseudo-labels. Current advances have miti…

cs.CV2023

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network

Ziheng Huang, Boheng Li, Yan Cai +5

In recent decades, Generative Adversarial Network (GAN) and its variants have achieved unprecedented success in image synthesis. However, well-trained GANs are under the threat of…

cs.CR2022★ 2 cited

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks

Run Wang, Jixing Ren, Boheng Li +6

Watermarking has been widely adopted for protecting the intellectual property (IP) of Deep Neural Networks (DNN) to defend the unauthorized distribution. Unfortunately, the popular…

cs.CR2022★ 1 cited

Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations

Run Wang, Ziheng Huang, Zhikai Chen +3

DeepFake is becoming a real risk to society and brings potential threats to both individual privacy and political security due to the DeepFaked multimedia are realistic and convinc…

cs.CV2020★ 6 cited

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

Yihao Huang, Felix Juefei-Xu, Run Wang +7

At this moment, GAN-based image generation methods are still imperfect, whose upsampling design has limitations in leaving some certain artifact patterns in the synthesized image.…

eess.AS2020★ 17 cited

DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices

Run Wang, Felix Juefei-Xu, Yihao Huang +4

With the recent advances in voice synthesis, AI-synthesized fake voices are indistinguishable to human ears and widely are applied to produce realistic and natural DeepFakes, exhib…