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09/18/2023
Security and Privacy on Generative Data in AIGC: A Survey
The advent of artificial intelligence-generated content (AIGC) represent...
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07/02/2023
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
Massive captured face images are stored in the database for the identifi...
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05/18/2023
Towards an Accurate and Secure Detector against Adversarial Perturbations
The vulnerability of deep neural networks to adversarial perturbations h...
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03/29/2023
Visual Content Privacy Protection: A Survey
Vision is the most important sense for people, and it is also one of the...
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01/18/2023
Representing Noisy Image Without Denoising
A long-standing topic in artificial intelligence is the effective recogn...
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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...
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09/19/2022
Adaptive 3D Mesh Steganography Based on Feature-Preserving Distortion
3D mesh steganographic algorithms based on geometric modification are vu...
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09/05/2022
Uformer-ICS: A Specialized U-Shaped Transformer for Image Compressive Sensing
Recently, several studies have applied deep convolutional neural network...
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03/08/2022
Metaverse: Security and Privacy Concerns
The term "metaverse", a three-dimensional virtual universe similar to th...
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03/02/2022
A Principled Design of Image Representation: Towards Forensic Tasks
Image forensics is a rising topic as the trustworthy multimedia content ...
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01/31/2022
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
Recent researches demonstrate that Deep Neural Networks (DNN) models are...
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01/03/2022
Compression-Resistant Backdoor Attack against Deep Neural Networks
In recent years, many backdoor attacks based on training data poisoning ...
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09/16/2021
Protect the Intellectual Property of Dataset against Unauthorized Use
Training high performance Deep Neural Networks (DNNs) models require lar...
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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...
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05/29/2021
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations
Recent researches show that deep learning model is susceptible to backdo...
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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...
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05/19/2021
CREAMS: Copyrighted Cloud Media Sharing
The advent of the big data era drives the media data owner to seek help ...
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03/27/2021
A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation
Image representation is an important topic in computer vision and patter...
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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...
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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 ...
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11/05/2020
A multi-level approach with visual information for encrypted H.265/HEVC videos
High-efficiency video coding (HEVC) encryption has been proposed to encr...
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06/12/2019
