88 citations · 104 across the 4 of their papers we have counts for
4 papers
CCAD: Compressed Global Feature Conditioned Anomaly Detection
Xiao Jin, Liang Diao, Qixin Xiao +4
Anomaly detection holds considerable industrial significance, especially in scenarios with limited anomalous data. Currently, reconstruction-based and unsupervised representation-b…
Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models
Jiang Hao, Xiao Jin, Hu Xiaoguang +2
Diffusion models (DMs) are regarded as one of the most advanced generative models today, yet recent studies suggest that they are vulnerable to backdoor attacks, which establish hi…
CAFE: Catastrophic Data Leakage in Vertical Federated Learning
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu +2
Recent studies show that private training data can be leaked through the gradients sharing mechanism deployed in distributed machine learning systems, such as federated learning (F…
VAFL: a Method of Vertical Asynchronous Federated Learning
Tianyi Chen, Xiao Jin, Yuejiao Sun +1
Horizontal Federated learning (FL) handles multi-client data that share the same set of features, and vertical FL trains a better predictor that combine all the features from diffe…