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Data poisoning has been proposed as a compelling defense against facial recognition models trained on Web-scraped pictures.
Preserving privacy by de-identifying face images
Elaine M Newton, Latanya Sweeney, and Bradley Malin · 2005
Earlier work this paper cites.
Attribute and simile classifiers for face verification
Neeraj Kumar, Alexander C Berg, Peter N Belhumeur, and Shree K Nayar · 2009
Earlier work this paper cites.
Face verification across age progression using discriminative methods
Haibin Ling, Stefano Soatto, Narayanan Ramanathan, and David W. Jacobs · 2009
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
Earlier work this paper cites.
A data-driven approach to cleaning large face datasets
Hong-Wei Ng and Stefan Winkler · 2014
Earlier work this paper cites.
Learning face representation from scratch
Dong Yi, Zhen Lei, Shengcai Liao, and Stan Z Li · 2014
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Earlier work this paper cites.
Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
Nicolas Papernot, Patrick McDaniel, and Ian Goodfellow · 2016
Earlier work this paper cites.
Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K Reiter · 2016
Earlier work this paper cites.
Sergey Zagoruyko and Nikos Komodakis · 2016
Earlier work this paper cites.
Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, and Jiashi Feng · 2017
Earlier work this paper cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
Earlier work this paper cites.
Adversarial image perturbation for privacy protection a game theory perspective
Seong Joon Oh, Mario Fritz, and Bernt Schiele · 2017
Earlier work this paper cites.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
Earlier work this paper cites.
VGGFace2: A dataset for recognising faces across pose and age
Qiong Cao, Li Shen, Weidi Xie, Omkar M Parkhi, and Andrew Zisserman · 2018
Earlier work this paper cites.
Arcface: Additive angular margin loss for deep face recognition. corr
J Deng, J Guo, and S Zafeiriou · 2018
Earlier work this paper cites.
Motivating the rules of the game for adversarial example research
Justin Gilmer, Ryan P Adams, Ian Goodfellow, David Andersen, and George E Dahl · 2018
Earlier work this paper cites.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Earlier work this paper cites.
Exploring the limits of weakly supervised pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens Van Der Maaten · 2018
Earlier work this paper cites.
MobileNetV2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
Cited alongside, same era.
Microsoft urges congress to regulate use of facial recognition
Natasha Singer · 2018
Cited alongside, same era.
Robustness may be at odds with accuracy
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, and Aleksander Madry · 2018
Cited alongside, same era.
Advfaces: Adversarial face synthesis
Debayan Deb, Jianbang Zhang, and Anil K Jain · 2019
Cited alongside, same era.
Live face de-identification in video
Oran Gafni, Lior Wolf, and Yaniv Taigman · 2019
Cited alongside, same era.
Selective kernel networks
Xiang Li, Wenhai Wang, Xiaolin Hu, and Jian Yang · 2019
Cited alongside, same era.
Locate, size and count: Accurately resolving people in dense crowds via detection
Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman, Amogh Kamath, and R. Venkatesh Babu · 2020
Later among the works it cites.
Fawkes: Protecting privacy against unauthorized deep learning models
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, and Ben Y Zhao · 2020
Later among the works it cites.
On adaptive attacks to adversarial example defenses
Florian Tramer, Nicholas Carlini, Wieland Brendel, and Aleksander Madry · 2020
Later among the works it cites.
ECA-Net: Efficient channel attention for deep convolutional neural networks, 2020 ieee
Q Wang, B Wu, P Zhu, P Li, W Zuo, and Q Hu · 2020
Later among the works it cites.
Amazon pauses police use of its facial recognition software
Karen Weise and Natasha Singer · 2020
Later among the works it cites.
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A surveillance net blankets China’s cities, giving police vast powers
Paul Mozur and Aaron Krolik · 2019
Cited alongside, same era.
Fooling automated surveillance cameras: adversarial patches to attack person detection
Simen Thys, Wiebe Van Ranst, and Toon Goedemé · 2019
Cited alongside, same era.
Facebook built a facial recognition app for employees
Queenie Wong · 2019
Cited alongside, same era.
Billion-scale semi-supervised learning for image classification
I Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, and Dhruv Mahajan · 2019
Cited alongside, same era.
Camera adversaria
Kieran Browne, Ben Swift, and Terhi Nurmikko-Fuller · 2020
Cited alongside, same era.
Preventing personal data theft in images with adversarial ML
Thomas Cilloni, Wei Wang, Charles Walter, and Charles Fleming · 2020
Cited alongside, same era.
Police facial recognition use unlawful–U.K. court of appeal makes landmark ruling
Davey Winder · 2020
Later among the works it cites.
Adversarial T-shirt! evading person detectors in a physical world
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, and Xue Lin · 2020
Later among the works it cites.
Towards privacy protection by generating adversarial identity masks
Xiao Yang, Yinpeng Dong, Tianyu Pang, Jun Zhu, and Hang Su · 2020
Later among the works it cites.
ResNeSt: Split-attention networks
Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R Manmatha, et al · 2020
Later among the works it cites.
Personalized and invertible face de-identification by disentangled identity information manipulation
Jingyi Cao, Bo Liu, Yunqian Wen, Rong Xie, and Li Song · 2021
Closest in time.
LowKey: Prevent your images from being used to track you
Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John Dickerson, Gavin Taylor, and Tom Goldstein · 2021
Closest in time.
Multimodal neurons in artificial neural networks
Gabriel Goh, Nick Cammarata, Chelsea Voss, Shan Carter, Michael Petrov, Ludwig Schubert, Alec Radford, and Chris Olah · 2021
Closest in time.
This facial recognition website can turn anyone into a cop – or a stalker
Drew Harwell · 2021
Closest in time.
OpenCLIP, July 2021
Gabriel Ilharco, Mitchell Wortsman, Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, Hongseok Namkoong, John Miller, Hannaneh Hajishirzi, Ali Farhadi, and Ludwig Schmidt · 2021
Closest in time.
AdvHat: Real-world adversarial attack on ArcFace face ID system
Stepan Komkov and Aleksandr Petiushko · 2021
Closest in time.
MagFace: A universal representation for face recognition and quality assessment
Qiang Meng, Shichao Zhao, Zhida Huang, and Feng Zhou · 2021
Closest in time.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Closest in time.
On the (im) practicality of adversarial perturbation for image privacy
Arezoo Rajabi, Rakesh B Bobba, Mike Rosulek, Charles Wright, and Wu-chi Feng · 2021
Closest in time.
Image “cloaking” for personal privacy
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, and Ben Y Zhao · 2021
Closest in time.
Legal chatbot firm DoNotPay adds anti-facial recognition filters to its suite of handy tools
James Vincent · 2021
Closest in time.
Robust fine-tuning of zero-shot models, 2021
Mitchell Wortsman, Gabriel Ilharco, Mike Li, Jong Wook Kim, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, and Ludwig Schmidt · 2021
Closest in time.