8 citations · 25 across the 9 of their papers we have counts for
4 papers · 1 filter
Amplifying Membership Exposure via Data Poisoning
Yufei Chen, Chao Shen, Yun Shen +2
As in-the-wild data are increasingly involved in the training stage, machine learning applications become more susceptible to data poisoning attacks. Such attacks typically lead to…
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Xuanqi Gao, Juan Zhai, Shiqing Ma +3
With Deep Neural Network (DNN) being integrated into a growing number of critical systems with far-reaching impacts on society, there are increasing concerns on their ethical perfo…
WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice
Yunjie Ge, Qian Wang, Jingfeng Zhang +3
People are not always receptive to their voice data being collected and misused. Training the audio intelligence systems needs these data to build useful features, but the cost for…
Towards Benchmarking and Evaluating Deepfake Detection
Chenhao Lin, Jingyi Deng, Pengbin Hu +3
Deepfake detection automatically recognizes the manipulated medias through the analysis of the difference between manipulated and non-altered videos. It is natural to ask which are…