b'Jinyin Chen'

research

∙ 07/18/2023

CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space

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

0 Haibin Zheng, et al. ∙

research

∙ 03/25/2023

AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking

Deep neural networks (DNNs) are vulnerable to adversarial examples, whic...

0 Ruoxi Chen, et al. ∙

research

∙ 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. ∙

research

∙ 03/18/2023

FedRight: An Effective Model Copyright Protection for Federated Learning

Federated learning (FL), an effective distributed machine learning frame...

0 Jinyin Chen, et al. ∙

research

∙ 11/01/2022

ActGraph: Prioritization of Test Cases Based on Deep Neural Network Activation Graph

Widespread applications of deep neural networks (DNNs) benefit from DNN ...

0 Jinyin Chen, et al. ∙

research

∙ 10/25/2022

Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs

Graph neural network (GNN) with a powerful representation capability has...

0 Haibin Zheng, et al. ∙

research

∙ 08/14/2022

Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection

Link prediction, inferring the undiscovered or potential links of the gr...

0 Haibin Zheng, et al. ∙

research

∙ 06/17/2022

Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection

The proliferation of fake news and its serious negative social influence...

0 Jinyin Chen, et al. ∙

research

∙ 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. ∙

research

∙ 04/28/2022

Improving robustness of language models from a geometry-aware perspective

Recent studies have found that removing the norm-bounded projection and ...

0 Bin Zhu, et al. ∙

research

∙ 04/05/2022

GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning

Penetration testing (PT) is an efficient network testing and vulnerabili...

0 Jinyin Chen, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 12/24/2021

NIP: Neuron-level Inverse Perturbation Against Adversarial Attacks

Although deep learning models have achieved unprecedented success, their...

16 Ruoxi Chen, et al. ∙

research

∙ 11/26/2021

TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors

Recently, phishing scams have posed a significant threat to blockchains....

0 Jinyin Chen, et al. ∙

research

∙ 10/13/2021

Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning

Graph neural network (GNN) models have achieved great success on graph r...

0 Jinyin Chen, et al. ∙

research

∙ 10/08/2021

Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction

Dynamic link prediction (DLP) makes graph prediction based on historical...

0 Jinyin Chen, et al. ∙

research

∙ 08/19/2021

Blockchain Phishing Scam Detection via Multi-channel Graph Classification

With the popularity of blockchain technology, the financial security iss...

0 Dunjie Zhang, et al. ∙

research

∙ 07/16/2021

EGC2: Enhanced Graph Classification with Easy Graph Compression

Graph classification plays a significant role in network analysis. It al...

11 Jinyin Chen, et al. ∙

research

∙ 05/14/2021

Salient Feature Extractor for Adversarial Defense on Deep Neural Networks

Recent years have witnessed unprecedented success achieved by deep learn...

14 Jinyin Chen, et al. ∙

research

∙ 05/10/2021

MASS: Multi-task Anthropomorphic Speech Synthesis Framework

Text-to-Speech (TTS) synthesis plays an important role in human-computer...

0 Jinyin Chen, et al. ∙

research

∙ 02/24/2021

Graphfool: Targeted Label Adversarial Attack on Graph Embedding

Deep learning is effective in graph analysis. It is widely applied in ma...

0 Jinyin Chen, et al. ∙

research

∙ 01/18/2021

GraphAttacker: A General Multi-Task GraphAttack Framework

Graph Neural Networks (GNNs) have been successfully exploited in graph a...

0 Jinyin Chen, et al. ∙

research

∙ 01/06/2021

DeepPoison: Feature Transfer Based Stealthy Poisoning Attack

Deep neural networks are susceptible to poisoning attacks by purposely p...

0 Jinyin Chen, et al. ∙

research

∙ 12/18/2020

ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries

With the successful application of deep learning models in many real-wor...

0 Jinyin Chen, et al. ∙

research

∙ 05/03/2020

Visualizing Deep Learning-based Radio Modulation Classifier

Deep learning has recently been successfully applied in automatic modula...

0 Liang Huang, et al. ∙

research

∙ 07/21/2019

Open DNN Box by Power Side-Channel Attack

Deep neural networks are becoming popular and important assets of many A...

0 Yun Xiang, et al. ∙

research

∙ 05/01/2019

POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm

Most deep learning models are easily vulnerable to adversarial attacks. ...

0 Jinyin Chen, et al. ∙

research

∙ 04/12/2019

N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network

Recommender systems are becoming more and more important in our daily li...

0 Jinyin Chen, et al. ∙

research

∙ 02/22/2019

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction

Predicting the potential relations between nodes in networks, known as l...

0 Jinyin Chen, et al. ∙

research

∙ 12/01/2018

FineFool: Fine Object Contour Attack via Attention

Machine learning models have been shown vulnerable to adversarial attack...

0 Jinyin Chen, et al. ∙

Jinyin Chen

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