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Zelun Kong

2 accepted papers

2021

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

IJCAI 2021poster

Deep neural networks, particularly face recognition models, have been shown to be vulnerable to both digital and physical adversarial examples. However, existing adversarial examples against face recognition systems either lack transferability to black-box models, or fail to be implemented in practi…

Cited by 155SourcePDFScholar
2020

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving

CVPR 2020poster

Although Deep neural networks (DNNs) are being pervasively used in vision-based autonomous driving systems, they are found vulnerable to adversarial attacks where small-magnitude perturbations into the inputs during test time cause dramatic changes to the outputs. While most of the recent attack met…

Cited by 188PDFcodeScholar