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The growing public concerns on data privacy in face recognition can be greatly addressed by the federated learning (FL) paradigm.
Statistics for experimenters , volume 664
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Sumit Chopra, Raia Hadsell, and Yann LeCun · 2005
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Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
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Cynthia Dwork and Aarons Roth · 2014
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MS-Celeb-1M: A dataset and benchmark for large-scale face recognition
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Locating a small cluster privately
Kobbi Nissim, Uri Stemmer, and Salil Vadhan · 2016
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Kihyuk Sohn · 2016
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Dan Feldman, Chongyuan Xiang, Ruihao Zhu, and Daniela Rus · 2017
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Differentially private federated learning: A client level perspective
Robin C Geyer, Tassilo Klein, and Moin Nabi · 2017
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Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song · 2017
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Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Peter Kairouz, H Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, and Rachel Cummings · 2019
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A hybrid approach to privacy-preserving federated learning
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, and Yi Zhou · 2019
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Racial faces in the wild: Reducing racial bias by information maximization adaptation network
Mei Wang, Weihong Deng, Jiani Hu, Xunqiang Tao, and Yaohai Huang · 2019
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SecureFace: Face template protection
Guangcan Mai, Kai Cao, Xiangyuan Lan, and Pong C Yuen · 2020
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Rajeev Ranjan, Carlos D Castillo, and Rama Chellappa · 2017
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The EU general data protection regulation (GDPR)
Paul Voigt and Axel Von dem Bussche · 2017
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IARPA Janus benchmark-B face dataset
Cameron Whitelam, Emma Taborsky, Austin Blanton, Brianna Maze, Jocelyn Adams, Tim Miller, Nathan Kalka, Anil K Jain, James A Duncan, and Kristen Allen · 2017
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Secure face matching using fully homomorphic encryption
Vishnu Naresh Boddeti · 2018
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Face template protection using deep convolutional neural network
Arun Kumar Jindal, Srinivas Chalamala, and Santosh Kumar Jami · 2018
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IARPA Janus benchmark-C: Face dataset and protocol
Brianna Maze, Jocelyn Adams, James A Duncan, Nathan Kalka, Tim Miller, Charles Otto, Anil K Jain, W Tyler Niggel, Janet Anderson, and Jordan Cheney · 2018
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Differentially private k-means with constant multiplicative error
Uri Stemmer and Haim Kaplan · 2018
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Mitigating bias in face recognition using skewness-aware reinforcement learning
Mei Wang and Weihong Deng · 2020
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FedFace: Collaborative learning of face recognition model
Divyansh Aggarwal, Jiayu Zhou, and Anil K Jain · 2021
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Fan Bai, Jiaxiang Wu, Pengcheng Shen, Shaoxin Li, and Shuigeng Zhou · 2021
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Privacy-preserving image features via adversarial affine subspace embeddings
Mihai Dusmanu, Johannes L Schonberger, Sudipta N Sinha, and Marc Pollefeys · 2021
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Searching for alignment in face recognition
Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, and Zhen Lei · 2021
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A study of face obfuscation in ImageNet
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