b'Xintao Wu'

LogBERT: Log Anomaly Detection via BERT

Detecting anomalous events in online computer systems is crucial to prot...
03/07/2021 ∙ by Haixuan Guo, et al. ∙ 0 ∙ share

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Achieving User-Side Fairness in Contextual Bandits

Personalized recommendation based on multi-arm bandit (MAB) algorithms h...
10/22/2020 ∙ by Wen Huang, et al. ∙ 0 ∙ share

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Fairness-aware Agnostic Federated Learning

Federated learning is an emerging framework that builds centralized mach...
10/10/2020 ∙ by Wei Du, et al. ∙ 0 ∙ share

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Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities

Insider threats, as one type of the most challenging threats in cyberspa...
05/25/2020 ∙ by Shuhan Yuan, et al. ∙ 0 ∙ share

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Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy

When we enforce differential privacy in machine learning, the utility-pr...
03/08/2020 ∙ by Depeng Xu, et al. ∙ 0 ∙ share

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Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process

The darknet markets are notorious black markets in cyberspace, which inv...
11/12/2019 ∙ by Panpan Zheng, et al. ∙ 0 ∙ share

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Achieving Differential Privacy in Vertically Partitioned Multiparty Learning

Preserving differential privacy has been well studied under centralized ...
11/11/2019 ∙ by Depeng Xu, et al. ∙ 0 ∙ share

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Fairness through Equality of Effort

Fair machine learning is receiving an increasing attention in machine le...
11/11/2019 ∙ by Wen Huang, et al. ∙ 0 ∙ share

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PC-Fairness: A Unified Framework for Measuring Causality-based Fairness

A recent trend of fair machine learning is to define fairness as causali...
10/20/2019 ∙ by Yongkai Wu, et al. ∙ 0 ∙ share

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Insider Threat Detection via Hierarchical Neural Temporal Point Processes

Insiders usually cause significant losses to organizations and are hard ...
10/08/2019 ∙ by Shuhan Yuan, et al. ∙ 0 ∙ share

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Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness

In this paper, we propose a novel Heterogeneous Gaussian Mechanism (HGM)...
06/02/2019 ∙ by NhatHai Phan, et al. ∙ 0 ∙ share

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Fairness-aware Classification: Criterion, Convexity, and Bounds

Fairness-aware classification is receiving increasing attention in the m...
09/13/2018 ∙ by Yongkai Wu, et al. ∙ 0 ∙ share

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SAFE: A Neural Survival Analysis Model for Fraud Early Detection

Many online platforms have deployed anti-fraud systems to detect and pre...
09/12/2018 ∙ by Panpan Zheng, et al. ∙ 0 ∙ share

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FairGAN: Fairness-aware Generative Adversarial Networks

Fairness-aware learning is increasingly important in data mining. Discri...
05/28/2018 ∙ by Depeng Xu, et al. ∙ 0 ∙ share

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On Discrimination Discovery and Removal in Ranked Data using Causal Graph

Predictive models learned from historical data are widely used to help c...
03/05/2018 ∙ by Yongkai Wu, et al. ∙ 0 ∙ share

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One-Class Adversarial Nets for Fraud Detection

Many online applications, such as online social networks or knowledge ba...
03/05/2018 ∙ by Panpan Zheng, et al. ∙ 0 ∙ share

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Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

In this paper, we focus on developing a novel mechanism to preserve diff...
09/18/2017 ∙ by NhatHai Phan, et al. ∙ 0 ∙ share

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Preserving Differential Privacy in Convolutional Deep Belief Networks

The remarkable development of deep learning in medicine and healthcare d...
06/25/2017 ∙ by NhatHai Phan, et al. ∙ 0 ∙ share

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Wikipedia Vandal Early Detection: from User Behavior to User Embedding

Wikipedia is the largest online encyclopedia that allows anyone to edit ...
06/03/2017 ∙ by Shuhan Yuan, et al. ∙ 0 ∙ share

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Task-specific Word Identification from Short Texts Using a Convolutional Neural Network

Task-specific word identification aims to choose the task-related words ...
06/03/2017 ∙ by Shuhan Yuan, et al. ∙ 0 ∙ share

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Achieving non-discrimination in prediction

Discrimination-aware classification is receiving an increasing attention...
02/28/2017 ∙ by Lu Zhang, et al. ∙ 0 ∙ share

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Xintao Wu

Featured Co-authors

Yang Liu

Jun Li

Lu Zhang

Dejing Dou

Han Hu

Yang Xiang

My T. Thai

Hanghang Tong

Wei Du

Dongwon Lee

Shuhan Yuan

LogBERT: Log Anomaly Detection via BERT

Achieving User-Side Fairness in Contextual Bandits

Fairness-aware Agnostic Federated Learning

Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities

Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy

Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process

Achieving Differential Privacy in Vertically Partitioned Multiparty Learning

Fairness through Equality of Effort

PC-Fairness: A Unified Framework for Measuring Causality-based Fairness

Insider Threat Detection via Hierarchical Neural Temporal Point Processes

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness

Fairness-aware Classification: Criterion, Convexity, and Bounds

SAFE: A Neural Survival Analysis Model for Fraud Early Detection

FairGAN: Fairness-aware Generative Adversarial Networks

On Discrimination Discovery and Removal in Ranked Data using Causal Graph

One-Class Adversarial Nets for Fraud Detection

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

Preserving Differential Privacy in Convolutional Deep Belief Networks

Wikipedia Vandal Early Detection: from User Behavior to User Embedding

Task-specific Word Identification from Short Texts Using a Convolutional Neural Network

Achieving non-discrimination in prediction