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03/22/2023
Edge Deep Learning Model Protection via Neuron Authorization
With the development of deep learning processors and accelerators, deep ...
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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...
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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...
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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...
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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...
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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...
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02/12/2022
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity
Despite impressive capabilities and outstanding performance, deep neural...
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12/25/2021
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
Deep neural networks (DNNs) have demonstrated their outperformance in va...
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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...
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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...
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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...
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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 ...
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06/24/2020
DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model
Strong passwords are fundamental to the security of password-based user ...
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05/25/2020
Keyed Non-Parametric Hypothesis Tests
The recent popularity of machine learning calls for a deeper understandi...
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04/27/2019
PowerNet: Neural Power Demand Forecasting in Smart Grid
Power demand forecasting is a critical task for achieving efficiency and...
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01/13/2018