Awny Sayed1, Sohair Kinlany2, Alaa Zaki2, Ahmed Mahfouz2,3,*
CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3151-3166, 2023, DOI:10.32604/cmc.2023.040256
Abstract Face verification systems are critical in a wide range of applications, such as security systems and biometric
authentication. However, these systems are vulnerable to adversarial attacks, which can significantly compromise
their accuracy and reliability. Adversarial attacks are designed to deceive the face verification system by adding
subtle perturbations to the input images. These perturbations can be imperceptible to the human eye but can cause
the system to misclassify or fail to recognize the person in the image. To address this issue, we propose a novel system
called VeriFace that comprises two defense mechanisms, adversarial detection,… More >
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