b'Jian Liu'

Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates

Federated Learning (FL) enables multiple distributed clients (e.g., mobi...
07/03/2021 ∙ by Zhuohang Li, et al. ∙ 0 ∙ share

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OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS

With the growing popularity of Android devices, Android malware is serio...
05/25/2021 ∙ by Guangquan Xu, et al. ∙ 10 ∙ share

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CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

As facial interaction systems are prevalently deployed, security and rel...
02/25/2021 ∙ by Yuanhan Zhang, et al. ∙ 0 ∙ share

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A hybrid deep-learning approach for complex biochemical named entity recognition

Named entity recognition (NER) of chemicals and drugs is a critical doma...
12/20/2020 ∙ by Jian Liu, et al. ∙ 12 ∙ share

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Natural Language Inference in Context – Investigating Contextual Reasoning over Long Texts

Natural language inference (NLI) is a fundamental NLP task, investigatin...
11/10/2020 ∙ by Hanmeng Liu, et al. ∙ 0 ∙ share

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LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Machine reading is a fundamental task for testing the capability of natu...
07/16/2020 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis

Multi-source unsupervised domain adaptation (MS-UDA) for sentiment analy...
06/10/2020 ∙ by Yong Dai, et al. ∙ 0 ∙ share

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Enabling Fast and Universal Audio Adversarial Attack Using Generative Model

Recently, the vulnerability of DNN-based audio systems to adversarial at...
04/26/2020 ∙ by Yi Xie, et al. ∙ 0 ∙ share

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Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems

As the popularity of voice user interface (VUI) exploded in recent years...
03/04/2020 ∙ by Yi Xie, et al. ∙ 0 ∙ share

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Free-riders in Federated Learning: Attacks and Defenses

Federated learning is a recently proposed paradigm that enables multiple...
11/28/2019 ∙ by Jierui Lin, et al. ∙ 0 ∙ share

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Adversarial Attack on Skeleton-based Human Action Recognition

Deep learning models achieve impressive performance for skeleton-based h...
09/14/2019 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers

In this paper, we build a speech privacy attack that exploits speech rev...
07/12/2019 ∙ by S Abhishek Anand, et al. ∙ 0 ∙ share

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Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video

Advances in Deep Learning have recently made it possible to recover full...
06/01/2019 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation

When purchasing appearance-first products, e.g., clothes, product appear...
05/29/2019 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Making Speculative BFT Resilient with Trusted Monotonic Counters

Consensus mechanisms used by popular distributed ledgers are highly scal...
05/24/2019 ∙ by Lachlan J. Gunn, et al. ∙ 0 ∙ share

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Impossibility of Full Decentralization in Permissionless Blockchains

Bitcoin uses blockchain technology and proof-of-work (PoW) mechanism whe...
05/13/2019 ∙ by Yujin Kwon, et al. ∙ 0 ∙ share

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Effects of empathy on the evolution of fairness in group-structured populations

The ultimatum game has been a prominent paradigm in studying the evoluti...
02/12/2019 ∙ by Yanling Zhang, et al. ∙ 0 ∙ share

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Latent Dirichlet Allocation in Generative Adversarial Networks

Mode collapse is one of the key challenges in the training of Generative...
12/17/2018 ∙ by Lili Pan, et al. ∙ 8 ∙ share

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iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Person identification in the wild is very challenging due to great varia...
11/19/2018 ∙ by Yuanliu Liu, et al. ∙ 0 ∙ share

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Caging Loops in Shape Embedding Space: Theory and Computation

We propose to synthesize feasible caging grasps for a target object thro...
07/31/2018 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction

Time series prediction has been studied in a variety of domains. However...
06/02/2018 ∙ by Yunzhe Tao, et al. ∙ 0 ∙ share

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Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild

In this paper, we seek to better understand Android obfuscation and depi...
01/05/2018 ∙ by Shuaike Dong, et al. ∙ 0 ∙ share

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Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition

Human skeleton joints are popular for action analysis since they can be ...
11/16/2017 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Defense against Universal Adversarial Perturbations

Recent advances in Deep Learning show the existence of image-agnostic qu...
11/16/2017 ∙ by Naveed Akhtar, et al. ∙ 0 ∙ share

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Viewpoint Invariant Action Recognition using RGB-D Videos

In video-based action recognition, viewpoint variations often pose major...
09/15/2017 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition

We propose Human Pose Models that represent RGB and depth images of huma...
07/04/2017 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Jian Liu

Featured Co-authors

Wei Liu

Yue Zhang

Hui Li

Kai Chen

Dawn Song

Ziwei Liu

Kai Xu

Lin Ma

Zenglin Xu

Yan Xu

Xin Huang

Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates

OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

A hybrid deep-learning approach for complex biochemical named entity recognition

Natural Language Inference in Context – Investigating Contextual Reasoning over Long Texts

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis

Enabling Fast and Universal Audio Adversarial Attack Using Generative Model

Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems

Free-riders in Federated Learning: Attacks and Defenses

Adversarial Attack on Skeleton-based Human Action Recognition

Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers

Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation

Making Speculative BFT Resilient with Trusted Monotonic Counters

Impossibility of Full Decentralization in Permissionless Blockchains

Effects of empathy on the evolution of fairness in group-structured populations

Latent Dirichlet Allocation in Generative Adversarial Networks

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Caging Loops in Shape Embedding Space: Theory and Computation

Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction

Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild

Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition

Defense against Universal Adversarial Perturbations

Viewpoint Invariant Action Recognition using RGB-D Videos

Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition