43 citations · 249 across the 65 of their papers we have counts for
7 papers · 1 filter
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning
NhatHai Phan, Xintao Wu, Han Hu +1
In this paper, we focus on developing a novel mechanism to preserve differential privacy in deep neural networks, such that: (1) The privacy budget consumption is totally independe…
Spectrum-based deep neural networks for fraud detection
Shuhan Yuan, Xintao Wu, Jun Li +1
In this paper, we focus on fraud detection on a signed graph with only a small set of labeled training data. We propose a novel framework that combines deep neural networks and spe…
Wikipedia Vandal Early Detection: from User Behavior to User Embedding
Shuhan Yuan, Panpan Zheng, Xintao Wu +1
Wikipedia is the largest online encyclopedia that allows anyone to edit articles. In this paper, we propose the use of deep learning to detect vandals based on their edit history.…
Task-specific Word Identification from Short Texts Using a Convolutional Neural Network
Shuhan Yuan, Xintao Wu, Yang Xiang
Task-specific word identification aims to choose the task-related words that best describe a short text. Existing approaches require well-defined seed words or lexical dictionaries…
Preserving Differential Privacy in Convolutional Deep Belief Networks
NhatHai Phan, Xintao Wu, Dejing Dou
The remarkable development of deep learning in medicine and healthcare domain presents obvious privacy issues, when deep neural networks are built on users' personal and highly sen…
SNE: Signed Network Embedding
Shuhan Yuan, Xintao Wu, Yang Xiang
Several network embedding models have been developed for unsigned networks. However, these models based on skip-gram cannot be applied to signed networks because they can only deal…
Achieving non-discrimination in prediction
Lu Zhang, Yongkai Wu, Xintao Wu
Discrimination-aware classification is receiving an increasing attention in data science fields. The pre-process methods for constructing a discrimination-free classifier first rem…