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08/03/2023
Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection
DeepFakes have raised serious societal concerns, leading to a great surg...
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08/02/2023
ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
The prominent progress in generative models has significantly improved t...
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07/27/2023
FakeTracer: Proactively Defending Against Face-swap DeepFakes via Implanting Traces in Training
Face-swap DeepFake is an emerging AI-based face forgery technique that c...
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04/22/2022
Enhancing the Transferability via Feature-Momentum Adversarial Attack
Transferable adversarial attack has drawn increasing attention due to th...
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06/02/2021
DFGC 2021: A DeepFake Game Competition
This paper presents a summary of the DFGC 2021 competition. DeepFake tec...
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03/02/2021
DeepFake-o-meter: An Open Platform for DeepFake Detection
In recent years, the advent of deep learning-based techniques and the si...
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02/01/2021
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
The recent development of Deep Neural Networks (DNN) has significantly i...
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12/07/2020
Backdoor Attack with Sample-Specific Triggers
Recently, backdoor attacks pose a new security threat to the training pr...
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10/31/2020
LandmarkGAN: Synthesizing Faces from Landmarks
Face synthesis is an important problem in computer vision with many appl...
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09/24/2020
Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights
Sophisticated generative adversary network (GAN) models are now able to ...
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10/19/2019
Fast Portrait Segmentation with extremely light-weight network
In this paper, we describe a fast and light-weight portrait segmentation...
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10/19/2019
Fast and Light-weight Portrait Segmentation
Improving the efficiency of portrait segmentation is of great importance...
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09/27/2019
Celeb-DF: A New Dataset for DeepFake Forensics
AI-synthesized face swapping videos, commonly known as the DeepFakes, ha...
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06/21/2019
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
Recent years have seen fast development in synthesizing realistic human ...
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03/30/2019
Exposing GAN-synthesized Faces Using Landmark Locations
Generative adversary networks (GANs) have recently led to highly realist...
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02/12/2019
De-identification without losing faces
Training of deep learning models for computer vision requires large imag...
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11/01/2018
Exposing Deep Fakes Using Inconsistent Head Poses
In this paper, we propose a new method to expose AI-generated fake face ...
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11/01/2018
Exposing DeepFake Videos By Detecting Face Warping Artifacts
In this work, we describe a new deep learning based method that can effe...
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09/16/2018
Attacking Object Detectors via Imperceptible Patches on Background
Deep neural networks have been proven vulnerable against adversarial per...
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09/16/2018
Robust Adversarial Perturbation on Deep Proposal-based Models
Adversarial noises are useful tools to probe the weakness of deep learni...
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06/07/2018