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09/12/2023
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning
Deepfake has recently raised a plethora of societal concerns over its po...
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07/21/2023
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks
Deep learning has been rapidly employed in many applications revolutioni...
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07/20/2023
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation
Existing high-resolution satellite image forgery localization methods re...
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07/13/2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems
Deep learning models are susceptible to adversarial samples in white and...
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03/21/2023
OTJR: Optimal Transport Meets Optimal Jacobian Regularization for Adversarial Robustness
Deep neural networks are widely recognized as being vulnerable to advers...
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11/29/2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning
Deep learning methods have gained increased attention in various applica...
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10/04/2022
CFL-Net: Image Forgery Localization Using Contrastive Learning
Conventional forgery localizing methods usually rely on different forger...
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08/24/2022
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability
Time series anomaly detection is extensively studied in statistics, econ...
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02/23/2022
Deepfake Detection for Facial Images with Facemasks
Hyper-realistic face image generation and manipulation have givenrise to...
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01/19/2022
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition
Feature learning is a widely used method employed for large-scale face r...
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12/22/2021
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images
Due to the advancement of Generative Adversarial Networks (GAN), Autoenc...
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12/15/2021
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images
The rapid progression of Generative Adversarial Networks (GANs) has rais...
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12/07/2021
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
Despite significant advancements of deep learning-based forgery detector...
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09/07/2021
Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors
Significant advancements made in the generation of deepfakes have caused...
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08/11/2021
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
While significant advancements have been made in the generation of deepf...
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07/06/2021
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation
Over the last few decades, artificial intelligence research has made tre...
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05/28/2021
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning
As GAN-based video and image manipulation technologies become more sophi...
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05/13/2021
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning
Deepfakes have become a critical social problem, and detecting them is o...
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05/01/2021
One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework
Deep learning-based video manipulation methods have become widely access...
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03/01/2021
Am I a Real or Fake Celebrity? Measuring Commercial Face Recognition Web APIs under Deepfake Impersonation Attack
Recently, significant advancements have been made in face recognition te...
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09/16/2020
A Convolutional LSTM based Residual Network for Deepfake Video Detection
In recent years, deep learning-based video manipulation methods have bec...
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08/10/2020
T-GD: Transferable GAN-generated Images Detection Framework
Recent advancements in Generative Adversarial Networks (GANs) enable the...
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01/05/2020
