activity
20172026
most citedDeepFakes: a New Threat to Face Recognition? Assessment and Detection

497 citations · 1.1k across the 40 of their papers we have counts for

collaborators

42 papers

cs.SD2026

On the Robustness of Audio Deepfake Detection under Audio Watermarking

Zi Qian Yong, Ajinkya Kulkarni, Julia Lau +4

Recent advances in generative audio models have enabled highly realistic synthetic speech, increasing the importance of reliable audio deepfake detection (ADD) systems. While prior…

cs.CV2023

Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes

Pavel Korshunov, Haolin Chen, Philip N. Garner +1

The task of deepfakes detection is far from being solved by speech or vision researchers. Several publicly available databases of fake synthetic video and speech were built to aid…

cs.CV2023

SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data

Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel

State-of-the-art face recognition networks are often computationally expensive and cannot be used for mobile applications. Training lightweight face recognition models also require…

cs.CV2023

EFaR 2023: Efficient Face Recognition Competition

Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen +24

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition rece…

cs.CV2023

Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation

Anjith George, Sebastien Marcel

Heterogeneous Face Recognition (HFR) aims to match face images across different domains, such as thermal and visible spectra, expanding the applicability of Face Recognition (FR) s…

cs.CV2023

EdgeFace: Efficient Face Recognition Model for Edge Devices

Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza +2

In this paper, we present EdgeFace, a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt. By effectively combining the strengths of…