Published: Nov 20, 2023
The following paper has been accepted at the Machine Learning and Principles and Practice of Knowledge Discovery in Databases:
- Title: Towards a Fine-Grained Threat Model for Video-Based Remote Identity Proofing
- Author: Cecilia Pasquini, Marco Pernpruner, Giada Sciarretta, Silvio Ranise
- Abstract: The attack landscape against video-based face verification is rapidly evolving, thus leading to increased opportunities of impersonation and identity theft within remote identity proofing processes. To support reliable security and risk analyses, we provide an extended threat model composed of threats and security controls for the face acquisition phase. Special emphasis is devoted to recent advancements in video synthesis and physical rendering, as well as diversified approaches for liveness detection.
About the post-proceedings
- Name: Machine Learning and Principles and Practice of Knowledge Discovery in Databases
- Website: https://2023.ecmlpkdd.org/
