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12/07/2022
Face Forgery Detection Based on Facial Region Displacement Trajectory Series
Deep-learning-based technologies such as deepfakes ones have been attrac...
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10/18/2022
Analysis of Master Vein Attacks on Finger Vein Recognition Systems
Finger vein recognition (FVR) systems have been commercially used, espec...
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06/28/2022
Rethinking Adversarial Examples for Location Privacy Protection
We have investigated a new application of adversarial examples, namely l...
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02/13/2022
Robust Deepfake On Unrestricted Media: Generation And Detection
Recent advances in deep learning have led to substantial improvements in...
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12/29/2021
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently
Deep neural networks are vulnerable to adversarial examples (AEs), which...
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11/25/2021
Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio
Estimating the mask-wearing ratio in public places is important as it en...
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09/08/2021
Master Face Attacks on Face Recognition Systems
Face authentication is now widely used, especially on mobile devices, ra...
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07/30/2021
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild
The proliferation of deepfake media is raising concerns among the public...
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04/17/2021
Fashion-Guided Adversarial Attack on Person Segmentation
This paper presents the first adversarial example based method for attac...
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10/05/2020
Viable Threat on News Reading: Generating Biased News Using Natural Language Models
Recent advancements in natural language generation has raised serious co...
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06/15/2020
Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems
Due to its convenience, biometric authentication, especial face authenti...
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12/11/2019
Detecting and Correcting Adversarial Images Using Image Processing Operations and Convolutional Neural Networks
Deep neural networks (DNNs) have achieved excellent performance on sever...
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11/02/2019
Security of Facial Forensics Models Against Adversarial Attacks
Deep neural networks (DNNs) have been used in forensics to identify fake...
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11/02/2019
A Method for Identifying Origin of Digital Images Using a Convolution Neural Network
The rapid development of deep learning techniques has created new challe...
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10/28/2019
Use of a Capsule Network to Detect Fake Images and Videos
The revolution in computer hardware, especially in graphics processing u...
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07/22/2019
Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection
Advanced neural language models (NLMs) are widely used in sequence gener...
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06/17/2019
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos
Detecting manipulated images and videos is an important topic in digital...
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12/28/2018
Identifying Computer-Translated Paragraphs using Coherence Features
We have developed a method for extracting the coherence features from a ...
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10/26/2018
Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos
Recent advances in media generation techniques have made it easier for a...
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04/12/2018
