research
∙
10/14/2022
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features
Intellectual property (IP) protection for Deep Neural Networks (DNNs) ha...
share
research
∙
01/31/2022
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
Recent researches demonstrate that Deep Neural Networks (DNN) models are...
research
∙
01/03/2022
Compression-Resistant Backdoor Attack against Deep Neural Networks
In recent years, many backdoor attacks based on training data poisoning ...
research
∙
09/16/2021
Protect the Intellectual Property of Dataset against Unauthorized Use
Training high performance Deep Neural Networks (DNNs) models require lar...
research
∙
06/15/2021
Detect and remove watermark in deep neural networks via generative adversarial networks
Deep neural networks (DNN) have achieved remarkable performance in vario...
research
∙
05/29/2021
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations
Recent researches show that deep learning model is susceptible to backdo...
research
∙
05/28/2021
AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption
A well-trained DNN model can be regarded as an intellectual property (IP...
research
∙
04/19/2021
Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images
Recently, the research on protecting the intellectual properties (IP) of...
research
∙
04/15/2021
Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
Deep neural networks (DNN) have been widely deployed in various practica...
research
∙
03/02/2021
ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples
The training of Deep Neural Networks (DNN) is costly, thus DNN can be co...
research
∙
11/27/2020
3D Invisible Cloak
In this paper, we propose a novel physical stealth attack against the pe...
research
∙
11/27/2020
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks
Recently, the membership inference attack poses a serious threat to the ...
research
∙
11/27/2020
Robust and Natural Physical Adversarial Examples for Object Detectors
Recently, many studies show that deep neural networks (DNNs) are suscept...
research
∙
11/27/2020
DNN Intellectual Property Protection: Taxonomy, Methods, Attack Resistance, and Evaluations
The training and creation of deep learning model is usually costly, thus...
research
∙
11/27/2020