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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...
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03/25/2023
AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking
Deep neural networks (DNNs) are vulnerable to adversarial examples, whic...
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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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03/18/2023
FedRight: An Effective Model Copyright Protection for Federated Learning
Federated learning (FL), an effective distributed machine learning frame...
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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 ...
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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...
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08/14/2022
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection
Link prediction, inferring the undiscovered or potential links of the gr...
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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...
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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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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...
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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
NIP: Neuron-level Inverse Perturbation Against Adversarial Attacks
Although deep learning models have achieved unprecedented success, their...
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10/08/2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Dynamic link prediction (DLP) makes graph prediction based on historical...
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05/14/2021
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
Recent years have witnessed unprecedented success achieved by deep learn...
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01/06/2021
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
Deep neural networks are susceptible to poisoning attacks by purposely p...
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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...
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05/01/2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm
Most deep learning models are easily vulnerable to adversarial attacks. ...
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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...
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12/01/2018