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Deep neural networks, particularly face recognition models, have been shown to be vulnerable to both digital and physical adversarial examples.
Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Gary B. Huang, Marwan Mattar, Tamara Berg, and Erik Learned-Miller · 2008
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Kalenichenko Dmitry, and Philbin James · 2015
Earlier work this paper cites.
Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
Earlier work this paper cites.
Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song · 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.
Joint face detection and alignment using multitask cascaded convolutional networks
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao · 2016
Earlier work this paper cites.
Tom B Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer · 2017
Earlier work this paper cites.
Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 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.
Practical black-box attacks against machine learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z Berkay Celik, and Ananthram Swami · 2017
Earlier work this paper cites.
Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 2018
Cited alongside, same era.
Attacks on state-of-the-art face recognition using attentional adversarial attack generative network
Qing Song, Yingqi Wu, and Lu Yang · 2018
Cited alongside, same era.
Chengxiang Yin, Jian Tang, Zhiyuan Xu, and Yanzhi Wang · 2018
Cited alongside, same era.
Advfaces: Adversarial face synthesis
Debayan Deb, Jianbang Zhang, and Anil K Jain · 2019
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Universal adversarial perturbation via prior driven uncertainty approximation
Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, and Feiyue Huang · 2019
Later among the works it cites.
A general framework for adversarial examples with objectives
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K Reiter · 2019
Later among the works it cites.
Improving transferability of adversarial examples with input diversity
Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, and Alan L Yuille · 2019
Later among the works it cites.
Lifelong gan: Continual learning for conditional image generation
Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, and Greg Mori · 2019
Later among the works it cites.
Generating adversarial examples by makeup attacks on face recognition
Zheng-An Zhu, Yun-Zhong Lu, and Chen-Kuo Chiang · 2019
Later among the works it cites.
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Evading defenses to transferable adversarial examples by translation-invariant attacks
Yinpeng Dong, Tianyu Pang, Hang Su, and Jun Zhu · 2019
Cited alongside, same era.
Efficient decision-based black-box adversarial attacks on face recognition
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, and Jun Zhu · 2019
Cited alongside, same era.
Query-efficient meta attack to deep neural networks
Jiawei Du, Hu Zhang, Joey Tianyi zhou, Yi Yang, and Jiashi Feng · 2019
Cited alongside, same era.
Ladn: Local adversarial disentangling network for facial makeup and de-makeup
Qiao Gu, Guanzhi Wang, Mang Tik Chiu, Yu-Wing Tai, and Chi-Keung Tang · 2019
Cited alongside, same era.
Advhat: Real-world adversarial attack on arcface face id system
Stepan Komkov and Aleksandr Petiushko · 2019
Cited alongside, same era.
Regularized fine-grained meta face anti-spoofing
Rui Shao, Xiangyuan Lan, and Pong C. Yuen · 2020
Later among the works it cites.
Fm2u-net: Face morphological multi-branch network for makeup-invariant face verification
Wenxuan Wang, Yanwei Fu, Xuelin Qian, Yu-Gang Jiang, Qi Tian, and Xiangyang Xue · 2020
Later among the works it cites.
Towards transferable adversarial attack against deep face recognition
Yaoyao Zhong and Weihong Deng · 2020
Later among the works it cites.
Online face verification
MEGVII · 2021
Closest in time.
Online face verification
Microsoft · 2021
Closest in time.