Fun Selfie Filters in Face Recognition: Impact Assessment and Removal

Author:

Botezatu Cristian1ORCID,Ibsen Mathias1ORCID,Rathgeb Christian1ORCID,Busch Christoph1ORCID

Affiliation:

1. Biometrics and Internet Security Research Group, Hochschule Darmstadt, Darmstadt, Germany

Funder

German Federal Ministry of Education and Research and the Hessian Ministry of Higher Education, Research, Science and the Arts

National Research Center for Applied Cybersecurity ATHENE

European Union’s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Instrumentation

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Case Study on how Beautification Filters Can Fool Deepfake Detectors;2024 12th International Workshop on Biometrics and Forensics (IWBF);2024-04-11

2. Cardless Society: Assessing the Role of Cardless ATMs in Shaping the Future of Financial Transactions;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

3. Evaluating the Effectiveness of a Facial Recognition-Based Attendance Management System in a Real-World Setting;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes;Communications in Computer and Information Science;2023

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