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09/20/2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution
The challenge in sourcing attribution for forgery faces has gained wides...
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03/22/2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
A hard challenge in developing practical face recognition (FR) attacks i...
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10/13/2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Deep learning models have shown their vulnerability when dealing with ad...
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03/29/2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection
Various facial manipulation techniques have drawn serious public concern...
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07/22/2021
Structure Destruction and Content Combination for Face Anti-Spoofing
In pursuit of consolidating the face verification systems, prior face an...
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05/07/2021
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Deep neural networks, particularly face recognition models, have been sh...
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04/26/2021
Delving into Data: Effectively Substitute Training for Black-box Attack
Deep models have shown their vulnerability when processing adversarial s...
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11/27/2018
The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures
Since 2016, all of four major U.S. operators have rolled out nationwide ...
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05/02/2018
