Yao Cheng | DeepAI

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Featured Co-authors

Kai Chen
182 publications
Chang Xu
158 publications
Ke Xu
108 publications
Yue Yu
98 publications
Ting Wang
85 publications
Shouling Ji
74 publications
Tao Liu
58 publications
Qi Xuan
41 publications
Jinyin Chen
32 publications
Zhenguang Liu
32 publications
Jingyi Wang
29 publications

∙ 03/22/2023

Edge Deep Learning Model Protection via Neuron Authorization

With the development of deep learning processors and accelerators, deep ...

0 Jinyin Chen, et al. ∙

∙ 10/24/2022

Local discontinuous Galerkin method for a third order singularly perturbed problem of convection-diffusion type

The local discontinuous Galerkin (LDG) method is studied for a third-ord...

0 Li Yan, et al. ∙

∙ 09/21/2022

The local discontinuous Galerkin method for a singularly perturbed convection-diffusion problem with characteristic and exponential layers

A singularly perturbed convection-diffusion problem,posed on the unit sq...

0 Yao Cheng, et al. ∙

∙ 09/20/2022

Understanding Real-world Threats to Deep Learning Models in Android Apps

Famous for its superior performance, deep learning (DL) has been popular...

0 Zizhuang Deng, et al. ∙

∙ 06/17/2022

Supercloseness of the local discontinuous Galerkin method for a singularly perturbed convection-diffusion problem

A singularly perturbed convection-diffusion problem posed on the unit sq...

0 Yao Cheng, et al. ∙

∙ 06/11/2022

Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency

Federated learning (FL) is a distributed machine learning approach where...

2 Jinyin Chen, et al. ∙

∙ 02/12/2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity

Despite impressive capabilities and outstanding performance, deep neural...

0 Haibo Jin, et al. ∙

∙ 12/25/2021

NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification

Deep neural networks (DNNs) have demonstrated their outperformance in va...

17 Haibin Zheng, et al. ∙

∙ 12/24/2021

CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing

The success of deep neural networks (DNNs) in real-world applications ha...

0 Haibo Jin, et al. ∙

∙ 03/01/2021

Local discontinuous Galerkin method on layer-adapted meshes for singularly perturbed reaction-diffusion problems in two dimensions

We analyse the local discontinuous Galerkin (LDG) method for two-dimensi...

0 Yanjie Mei, et al. ∙

∙ 12/07/2020

The local discontinuous Galerkin method on layer-adapted meshes for time-dependent singularly perturbed convection-diffusion problems

In this paper we analyze the error as well for the semi-discretization a...

0 Yao Cheng, et al. ∙

∙ 09/28/2020

Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence

This paper aims to provide a thorough study on the effectiveness of the ...

17 Chang Liao, et al. ∙

∙ 06/24/2020

DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model

Strong passwords are fundamental to the security of password-based user ...

12 Yao Cheng, et al. ∙

∙ 05/25/2020

Keyed Non-Parametric Hypothesis Tests

The recent popularity of machine learning calls for a deeper understandi...

0 Yao Cheng, et al. ∙

∙ 04/27/2019

PowerNet: Neural Power Demand Forecasting in Smart Grid

Power demand forecasting is a critical task for achieving efficiency and...

0 Yao Cheng, et al. ∙

∙ 01/13/2018

SCLib: A Practical and Lightweight Defense against Component Hijacking in Android Applications

Cross-app collaboration via inter-component communication is a fundament...

0 Daoyuan Wu, et al. ∙

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