Beware the Doppelgänger: Attacks against Adaptive Thresholds in Facial Recognition Systems-Reference-Cited by-同舟云学术

Beware the Doppelgänger: Attacks against Adaptive Thresholds in Facial Recognition Systems

Published:2023-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th International Conference on Availability, Reliability and Security
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Author:

Verheyen Willem¹^ORCID,Van Hamme Tim¹^ORCID,Joos Sander¹^ORCID,Preuveneers Davy¹^ORCID,Joosen Wouter¹^ORCID

Affiliation:

1. imec-Distrinet, KU Leuven, Belgium

Funder

Research Fund KU Leuven

Flemish Research Programme Cybersecurity

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600160.3600179

Reference25 articles.

1. Face Recognition for Online Users’ Authentication;Ajjour Firas;Journal of Theoretical and Applied Information Technology.,2020

2. Apple. 2022. Face-ID. https://help.apple.com/pdf/security/en_US/apple-platform-security-guide.pdf. Apple. 2022. Face-ID. https://help.apple.com/pdf/security/en_US/apple-platform-security-guide.pdf.

3. Poisoning Adaptive Biometric Systems

4. Wieland Brendel Jonas Rauber and Matthias Bethge. 2018. Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. arxiv:1712.04248 [stat.ML] Wieland Brendel Jonas Rauber and Matthias Bethge. 2018. Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. arxiv:1712.04248 [stat.ML]

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