6 citations · 13 across the 7 of their papers we have counts for
7 papers
Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection
Qihao Shen, Jiaxing Xuan, Zhenguang Liu +5
Advanced deepfake technologies are blurring the lines between real and fake, presenting both revolutionary opportunities and alarming threats. While it unlocks novel applications i…
A Barrier Pair Method for Safe Human-Robot Shared Autonomy
Binghan He, Mahsa Ghasemi, Ufuk Topcu +1
Shared autonomy provides a framework where a human and an automated system, such as a robot, jointly control the system's behavior, enabling an effective solution for various appli…
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
Jinyin Chen, Ruoxi Chen, Haibin Zheng +3
Recent years have witnessed unprecedented success achieved by deep learning models in the field of computer vision. However, their vulnerability towards carefully crafted adversari…
MASS: Multi-task Anthropomorphic Speech Synthesis Framework
Jinyin Chen, Linhui Ye, Zhaoyan Ming
Text-to-Speech (TTS) synthesis plays an important role in human-computer interaction. Currently, most TTS technologies focus on the naturalness of speech, namely,making the speeche…
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
Jinyin Chen, Longyuan Zhang, Haibin Zheng +2
Deep neural networks are susceptible to poisoning attacks by purposely polluted training data with specific triggers. As existing episodes mainly focused on attack success rate wit…
GraphAttacker: A General Multi-Task GraphAttack Framework
Jinyin Chen, Dunjie Zhang, Zhaoyan Ming +3
Graph neural networks (GNNs) have been successfully exploited in graph analysis tasks in many real-world applications. The competition between attack and defense methods also enhan…
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
Jinyin Chen, Zhen Wang, Haibin Zheng +2
With the successful application of deep learning models in many real-world tasks, the model robustness becomes more and more critical. Often, we evaluate the robustness of the deep…