Web: http://arxiv.org/abs/2209.11020

Sept. 23, 2022, 1:24 a.m. | Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood

cs.CR updates on arXiv.org arxiv.org

Authentication systems are vulnerable to model inversion attacks where an
adversary is able to approximate the inverse of a target machine learning
model. Biometric models are a prime candidate for this type of attack. This is
because inverting a biometric model allows the attacker to produce a realistic
biometric input to spoof biometric authentication systems.


One of the main constraints in conducting a successful model inversion attack
is the amount of training data required. In this work, we focus on …

attacks biometric privacy

More from arxiv.org / cs.CR updates on arXiv.org

Artificial Intelligence and Cybersecurity Researcher

@ NavInfo Europe BV | Eindhoven, Netherlands

Senior Security Engineer (E5) - Infrastructure Security

@ Netflix | Remote, United States

Sr. Security Engineer (Infrastructure)

@ SpaceX | Hawthorne, CA or Redmond, WA or Washington, DC

Senior Global Security Compliance Analyst

@ Snowflake Inc. | Warsaw, Poland

Staff Security Engineer, Threat Hunt & Research (L4)

@ Twilio | Remote - Ireland

Junior Cybersecurity Engineer

@ KUDO | Buenos Aires

iOS Engineer (hybrid / flexibility / cybersecurity)

@ Qustodio | Barcelona, Spain

Security Engineer

@ Binance.US | U.S. Remote

Senior Information Systems Security Officer (ISSO)

@ Sigma Defense | Fayetteville, North Carolina, United States

ATGPAC Battle Lab - Ballistic Missile Defense Commander/Operations Manager

@ Sigma Defense | San Diego, California, United States

Cyber Security - Head of Infrastructure m/f

@ DataDome | Paris

Backend Engineer, Govern: Threat Insights

@ GitLab | Remote