5 papers
Breaking High Confidence: Practical Face Impersonation under High-Security Thresholds
Changjin Kim, Seunghun Paik, Dongsoo Kim +1
Face recognition systems (FRSs) are increasingly deployed in critical real-world services for authentication, such as banking applications and airport identity checks, necessitatin…
Casting the Net! Revisiting MasterFace Impersonation Attacks
Seunghun Paik, Sunpill Kim, Chanwoo Hwang +1
Impersonation is a fundamental security threat in face recognition systems (FRSs). While the security of FRSs has been challenged by various attack vectors, under realistic adversa…
Scores Know Bobs Voice: Speaker Impersonation Attack
Chanwoo Hwang, Sunpill Kim, Yong Kiam Tan +6
Advances in deep learning have enabled the widespread deployment of speaker recognition systems (SRSs), yet they remain vulnerable to score-based impersonation attacks. Existing at…
Non-Adaptive Adversarial Face Generation
Sunpill Kim, Seunghun Paik, Chanwoo Hwang +2
Adversarial attacks on face recognition systems (FRSs) pose serious security and privacy threats, especially when these systems are used for identity verification. In this paper, w…
IDFace: Face Template Protection for Efficient and Secure Identification
Sunpill Kim, Seunghun Paik, Chanwoo Hwang +3
As face recognition systems (FRS) become more widely used, user privacy becomes more important. A key privacy issue in FRS is protecting the user's face template, as the characteri…