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