Targeted Anonymization: A Face Image Anonymization Method for Unauthorized Models
Author:
Affiliation:
1. School of Computer Science and Engineering, Institute for Cyber Security University of Electronic Science and Technology of China,Chengdu,China
Funder
National Science Foundation of China
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9859562/9858923/09859898.pdf?arnumber=9859898
Reference22 articles.
1. Towards Transferable Adversarial Attack Against Deep Face Recognition
2. Boosting Adversarial Attacks with Momentum
3. Improving Transferability of Adversarial Examples With Input Diversity
4. ArcFace: Additive Angular Margin Loss for Deep Face Recognition
5. CosFace: Large Margin Cosine Loss for Deep Face Recognition
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1. Adversarial Secret-Identity Generation Model for Face Anonymization in the Internet of Vehicles;IEEE Systems Journal;2023-12
2. Deep Privacy based Face Anonymization for Smart Cities;2023 International Conference on Smart Applications, Communications and Networking (SmartNets);2023-07-25
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