A Review of Research on Adversarial Attacks in Biometric Systems
Biometric recognition systems are currently a highly anticipated research direction,and their safety has also received widespread public attention.Deep learning based biometric systems are susceptible to adversarial attacks.Adding adversarial perturbations to images can cause the deep learning model to make incorrect output predictions,thereby undermining the security of the biometric system and achieving the goal of illegal attacks.This paper investigates adversarial attacks against biometric systems and studies the defense methods and applications of adversarial attacks in privacy protection.Finally,this paper discusses the development direction of adversari-al attacks in future biometric systems,providing feasible solutions for future adversarial attack methods.
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维普
