With the advancement in face manipulation technologies, the importance o...
Face forgery detection is essential in combating malicious digital face
...
Conventional covert image communication is assumed to transmit the messa...
Recapture detection of face and document images is an important forensic...
Recent studies shows that the majority of existing deep steganalysis mod...
Up to now, most existing steganalytic methods are designed for grayscale...
Video privacy leakage is becoming an increasingly severe public problem,...
Image editing techniques enable people to modify the content of an image...
With the rapid progress of deepfake techniques in recent years, facial v...
The advent of the big data era drives the media data owner to seek help ...
Although significant progress in automatic learning of steganographic co...
Recent research has shown that non-additive image steganographic framewo...
With the ongoing popularization of online services, the digital document...
Nowadays a steganography has to face challenges of both feature based
st...
Recapturing attack can be employed as a simple but effective anti-forens...
It is well known that the modern steganography methods are designed unde...
Over the past few years, detection performance improvements of deep-lear...
Convolutional Neural Networks (CNN) based methods have significantly imp...
With the powerful deep network architectures, such as generative adversa...
Historically, steganographic schemes were designed in a way to preserve ...
Until recently, those deep steganalyzers in spatial domain are all desig...
The fingerprint-copy attack aims to confuse camera identification based ...
This paper focuses on the JPEG noises, which include the quantization no...