27 citations · 44 across the 7 of their papers we have counts for
7 papers
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…
Who is Speaking Actually? Robust and Versatile Speaker Traceability for Voice Conversion
Yanzhen Ren, Hongcheng Zhu, Liming Zhai +3
Voice conversion (VC), as a voice style transfer technology, is becoming increasingly prevalent while raising serious concerns about its illegal use. Proactively tracing the origin…
Enrollment Forecast for Clinical Trials at the Planning Phase with Study-Level Historical Data
Mengjia Yu, Sheng Zhong, Yunzhao Xing +1
Given progressive developments and demands on clinical trials, accurate enrollment timeline forecasting is increasingly crucial for both strategic decision-making and trial executi…
Enrollment Forecast for Clinical Trials at the Portfolio Planning Phase Based on Site-Level Historical Data
Sheng Zhong, Yunzhao Xing, Mengjia Yu +1
Accurate forecast of a clinical trial enrollment timeline at the planning phase is of great importance to both corporate strategic planning and trial operational excellence. While…
Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability
Feng Li, Xuyang Yuan, Lina Wang +4
We consider a K-armed bandit problem in general graphs where agents are arbitrarily connected and each of them has limited memorizing capabilities and communication bandwidth. The…
Spec-ResNet: A General Audio Steganalysis scheme based on Deep Residual Network of Spectrogram
Yanzhen Ren, Dengkai Liu, Qiaochu Xiong +2
The widespread application of audio and video communication technology make the compressed audio data flowing over the Internet, and make it become an important carrier for covert…
Towards a Robust Deep Neural Network in Texts: A Survey
Wenqi Wang, Run Wang, Lina Wang +2
Deep neural networks (DNNs) have achieved remarkable success in various tasks (e.g., image classification, speech recognition, and natural language processing (NLP)). However, rese…