DeepAI AI Chat
Log In Sign Up

Differential Anomaly Detection for Facial Images

by   Mathias Ibsen, et al.
Hochschule Ansbach

Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals. Despite recent advances, face recognition systems have shown to be particularly vulnerable to identity attacks (i.e., digital manipulations and attack presentations). Identity attacks pose a big security threat as they can be used to gain unauthorised access and spread misinformation. In this context, most algorithms for detecting identity attacks generalise poorly to attack types that are unknown at training time. To tackle this problem, we introduce a differential anomaly detection framework in which deep face embeddings are first extracted from pairs of images (i.e., reference and probe) and then combined for identity attack detection. The experimental evaluation conducted over several databases shows a high generalisation capability of the proposed method for detecting unknown attacks in both the digital and physical domains.


Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection

Face recognition systems are widely deployed for biometric authenticatio...

Are GAN-based Morphs Threatening Face Recognition?

Morphing attacks are a threat to biometric systems where the biometric r...

Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network

Face Recognition System (FRS) are shown to be vulnerable to morphed imag...

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Backdoor attacks allow an attacker to embed functionality jeopardizing p...

Deep Face Representations for Differential Morphing Attack Detection

The vulnerability of facial recognition systems to face morphing attacks...

Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance

Face recognition is widely employed in Automated Border Control (ABC) ga...