research
∙
09/20/2023
Forgery-aware Adaptive Vision Transformer for Face Forgery Detection
With the advancement in face manipulation technologies, the importance o...
share
research
∙
04/24/2023
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection
Face forgery detection is essential in combating malicious digital face ...
research
∙
12/06/2022
A Robust Image Steganographic Scheme against General Scaling Attacks
Conventional covert image communication is assumed to transmit the messa...
research
∙
09/05/2022
Forensicability Assessment of Questioned Images in Recapturing Detection
Recapture detection of face and document images is an important forensic...
research
∙
06/12/2022
STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition
Recent studies shows that the majority of existing deep steganalysis mod...
research
∙
11/24/2021
Universal Deep Network for Steganalysis of Color Image based on Channel Representation
Up to now, most existing steganalytic methods are designed for grayscale...
research
∙
08/30/2021
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video
Video privacy leakage is becoming an increasingly severe public problem,...
research
∙
07/06/2021
Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
Image editing techniques enable people to modify the content of an image...
research
∙
06/24/2021
Detection of Deepfake Videos Using Long Distance Attention
With the rapid progress of deepfake techniques in recent years, facial v...
research
∙
05/19/2021
CREAMS: Copyrighted Cloud Media Sharing
The advent of the big data era drives the media data owner to seek help ...
research
∙
05/09/2021
Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge
Although significant progress in automatic learning of steganographic co...
research
∙
03/25/2021
MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography
Recent research has shown that non-additive image steganographic framewo...
research
∙
02/01/2021
Deep Learning-based Forgery Attack on Document Images
With the ongoing popularization of online services, the digital document...
research
∙
01/13/2021
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image
Nowadays a steganography has to face challenges of both feature based st...
research
∙
01/05/2021
Domain Generalization for Document Authentication against Practical Recapturing Attacks
Recapturing attack can be employed as a simple but effective anti-forens...
research
∙
12/09/2019
Universal Stego Post-processing for Enhancing Image Steganography
It is well known that the modern steganography methods are designed unde...
research
∙
11/12/2019
CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images
Over the past few years, detection performance improvements of deep-lear...
research
∙
09/17/2019
Enhancing JPEG Steganography using Iterative Adversarial Examples
Convolutional Neural Networks (CNN) based methods have significantly imp...
research
∙
08/22/2018
Detection of Deep Network Generated Images Using Disparities in Color Components
With the powerful deep network architectures, such as generative adversa...
research
∙
03/24/2018
CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography
Historically, steganographic schemes were designed in a way to preserve ...
research
∙
03/13/2018
WISERNet: Wider Separate-then-reunion Network for Steganalysis of Color Images
Until recently, those deep steganalyzers in spatial domain are all desig...
research
∙
07/25/2017
Anti-Forensics of Camera Identification and the Triangle Test by Improved Fingerprint-Copy Attack
The fingerprint-copy attack aims to confuse camera identification based ...
research
∙
05/29/2014
