all InfoSec news
Fant\^omas: Understanding Face Anonymization Reversibility
May 8, 2024, 4:11 a.m. | Julian Todt, Simon Hanisch, Thorsten Strufe
cs.CR updates on arXiv.org arxiv.org
Abstract: Face images are a rich source of information that can be used to identify individuals and infer private information about them. To mitigate this privacy risk, anonymizations employ transformations on clear images to obfuscate sensitive information, all while retaining some utility. Albeit published with impressive claims, they sometimes are not evaluated with convincing methodology.
Reversing anonymized images to resemble their real input -- and even be identified by face recognition approaches -- represents the strongest …
anonymization arxiv can claims clear cs.cr cs.lg identify images information privacy privacy risk private risk sensitive sensitive information understanding utility
More from arxiv.org / cs.CR updates on arXiv.org
A Privacy Preserving System for Movie Recommendations Using Federated Learning
2 days, 16 hours ago |
arxiv.org
Jobs in InfoSec / Cybersecurity
Information Security Engineers
@ D. E. Shaw Research | New York City
Technology Security Analyst
@ Halton Region | Oakville, Ontario, Canada
Senior Cyber Security Analyst
@ Valley Water | San Jose, CA
Computer and Forensics Investigator
@ ManTech | 221BQ - Cstmr Site,Springfield,VA
Senior Security Analyst
@ Oracle | United States
Associate Vulnerability Management Specialist
@ Diebold Nixdorf | Hyderabad, Telangana, India