most citedAdversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization

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cs.CV2023

Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition

Zhaohui Wang, Sufang Zhang, Jianteng Peng +2

The outbreak of COVID-19 pandemic make people wear masks more frequently than ever. Current general face recognition system suffers from serious performance degradation,when encoun…

cs.CV2023

AdvFAS: A robust face anti-spoofing framework against adversarial examples

Jiawei Chen, Xiao Yang, Heng Yin +6

Ensuring the reliability of face recognition systems against presentation attacks necessitates the deployment of face anti-spoofing techniques. Despite considerable advancements in…

cs.CV2023

Towards Viewpoint-Invariant Visual Recognition via Adversarial Training

Shouwei Ruan, Yinpeng Dong, Hang Su +3

Visual recognition models are not invariant to viewpoint changes in the 3D world, as different viewing directions can dramatically affect the predictions given the same object. Alt…

cs.CV20232 cited

Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization

Zhaoxia Yin, Shaowei Zhu, Hang Su +3

Deep Neural Networks (DNNs) have recently made significant progress in many fields. However, studies have shown that DNNs are vulnerable to adversarial examples, where imperceptibl…

cs.CV2018

Racial Faces in-the-Wild: Reducing Racial Bias by Information Maximization Adaptation Network

Mei Wang, Weihong Deng, Jiani Hu +2

Racial bias is an important issue in biometric, but has not been thoroughly studied in deep face recognition. In this paper, we first contribute a dedicated dataset called Racial F…