The advent of artificial intelligence-generated content (AIGC) represent...
Massive captured face images are stored in the database for the
identifi...
The vulnerability of deep neural networks to adversarial perturbations h...
Vision is the most important sense for people, and it is also one of the...
A long-standing topic in artificial intelligence is the effective recogn...
Intellectual property (IP) protection for Deep Neural Networks (DNNs) ha...
3D mesh steganographic algorithms based on geometric modification are
vu...
Recently, several studies have applied deep convolutional neural network...
The term "metaverse", a three-dimensional virtual universe similar to th...
Image forensics is a rising topic as the trustworthy multimedia content ...
Recent researches demonstrate that Deep Neural Networks (DNN) models are...
In recent years, many backdoor attacks based on training data poisoning ...
Training high performance Deep Neural Networks (DNNs) models require
lar...
Deep neural networks (DNN) have achieved remarkable performance in vario...
Recent researches show that deep learning model is susceptible to backdo...
A well-trained DNN model can be regarded as an intellectual property (IP...
The advent of the big data era drives the media data owner to seek help ...
Image representation is an important topic in computer vision and patter...
The training of Deep Neural Networks (DNN) is costly, thus DNN can be
co...
Recently, the membership inference attack poses a serious threat to the
...
High-efficiency video coding (HEVC) encryption has been proposed to encr...
Indoor image features extraction is a fundamental problem in multiple fi...