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Face recognition systems are widely deployed in safety-critical applications, including law enforcement, yet they exhibit bias across a range of socio-demographic dimensions, such as gender and race.
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Marco Laumanns and Jiri Ocenasek · 2002
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Multi–objective evolutionary algorithms for the risk–return trade–off in bank loan management
Amitabha Mukerjee, Rita Biswas, Kalyanmoy Deb, and Amrit P Mathur · 2002
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Rexnet: Diminishing representational bottleneck on convolutional neural network
Dongyoon Han, Sangdoo Yun, Byeongho Heo, and YoungJoon Yoo · 2007
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Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
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Evolutionary multi-objective optimization algorithms
Gong Mao-Guo, Jiao Li-Cheng, Yang Dong-Dong, and Ma Wen-Ping · 2009
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Report on the evaluation of 2d still-image face recognition algorithms
Patrick J. Grother, George W. Quinn, and P J. Phillips · 2010
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The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
Eric WT Ngai, Yong Hu, Yiu Hing Wong, Yijun Chen, and Xin Sun · 2011
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Face recognition performance: Role of demographic information
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Demographic effects on estimates of automatic face recognition performance
Alice J O’Toole, P Jonathon Phillips, Xiaobo An, and Joseph Dunlop · 2012
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Karen Simonyan and Andrew Zisserman · 2014
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Michael Feldman, Sorelle A Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Guillaume Alain and Yoshua Bengio · 2016
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Moritz Hardt, Eric Price, Nati Srebro, et al · 2016
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Frontal to profile face verification in the wild
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Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Solon Barocas, Moritz Hardt, and Arvind Narayanan · 2017
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Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, and Jiashi Feng · 2017
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Xception: Deep learning with depthwise separable convolutions
François Chollet · 2017
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Parego extensions for multi-objective optimization of expensive evaluation functions
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Densely connected convolutional networks
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Agedb: the first manually collected, in-the-wild age database
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Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A Alemi · 2017
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Fairness constraints: Mechanisms for fair classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, and Krishna P. Gummadi · 2017
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Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments
Tianyue Zheng, Weihong Deng, and Jiani Hu · 2017
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru · 2018
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Proxylessnas: Direct neural architecture search on target task and hardware
Han Cai, Ligeng Zhu, and Song Han · 2018
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Vggface2: A dataset for recognising faces across pose and age
Qiong Cao, Li Shen, Weidi Xie, Omkar M Parkhi, and Andrew Zisserman · 2018
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Empirical risk minimization under fairness constraints
Michele Donini, Luca Oneto, Shai Ben-David, John S Shawe-Taylor, and Massimiliano Pontil · 2018
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Bohb: Robust and efficient hyperparameter optimization at scale
Stefan Falkner, Aaron Klein, and Frank Hutter · 2018
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Non-discriminatory machine learning through convex fairness criteria
Naman Goel, Mohammad Yaghini, and Boi Faltings · 2018
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Gender recognition or gender reductionism? the social implications of embedded gender recognition systems
Foad Hamidi, Morgan Klaus Scheuerman, and Stacy M Branham · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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The misgendering machines: Trans/hci implications of automatic gender recognition
Os Keyes · 2018
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Darts: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
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Translation tutorial: 21 fairness definitions and their politics
Arvind Narayanan · 2018
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Efficient neural architecture search via parameters sharing
Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, and Jeff Dean · 2018
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Inclusivefacenet: Improving face attribute detection with race and gender diversity
Hee Jung Ryu, Hartwig Adam, and Margaret Mitchell · 2018
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Fairness definitions explained
Sahil Verma and Julia Rubin · 2018
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Cosface: Large margin cosine loss for deep face recognition
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu · 2018
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Deep face recognition: A survey
Mei Wang and Weihong Deng · 2018
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Deep layer aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer, and Trevor Darrell · 2018
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Cross-pose lfw: A database for studying cross-pose face recognition in unconstrained environments
Tianyue Zheng and Weihong Deng · 2018
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Once-for-all: Train one network and specialize it for efficient deployment
A flexible framework for multi-objective bayesian optimization using random scalarizations
Biswajit Paria, Kirthevasan Kandasamy, and Barnabás Póczos · 2020
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Saving face: Investigating the ethical concerns of facial recognition auditing
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, and Emily Denton · 2020
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Measuring non-expert comprehension of machine learning fairness metrics
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L Mazurek, and Michael Carl Tschantz · 2020
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Intra-processing methods for debiasing neural networks
Yash Savani, Colin White, and Naveen Sundar Govindarajulu · 2020
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Multi-objective multi-fidelity hyperparameter optimization with application to fairness
Robin Schmucker, Michele Donini, Valerio Perrone, Muhammad Bilal Zafar, and Cédric Archambeau · 2020
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Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, and Song Han · 2019
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Neural architecture search: A survey
Thomas Elsken, Jan Hendrik Metzen, and Frank Hutter · 2019
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Hyperparameter optimization
Matthias Feurer and Frank Hutter · 2019
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A multi-objective optimization model based on non-dominated sorting genetic algorithm
HC Fu and P Liu · 2019
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Face Recognition Vendor Test (FVRT): Part 3, Demographic Effects
Patrick Grother, Mei Ngan, and Kayee Hanaoka · 2019
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Searching for mobilenetv3
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, et al · 2019
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Mitigating bias in face recognition using skewness-aware reinforcement learning
Mei Wang and Weihong Deng · 2020
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Gender classification and bias mitigation in facial images
Wenying Wu, Pavlos Protopapas, Zheng Yang, and Panagiotis Michalatos · 2020
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Revisiting resnets: Improved training and scaling strategies
Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, and Barret Zoph · 2021
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Visformer: The vision-friendly transformer
Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, and Qi Tian · 2021
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Lowkey: leveraging adversarial attacks to protect social media users from facial recognition
Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P. Dickerson, Gavin Taylor, and Tom Goldstein · 2021
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Twins: Revisiting the design of spatial attention in vision transformers
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Fbnetv3: Joint architecture-recipe search using predictor pretraining
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Convit: Improving vision transformers with soft convolutional inductive biases
Stéphane d’Ascoli, Hugo Touvron, Matthew Leavitt, Ari Morcos, Giulio Biroli, and Levent Sagun · 2021
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Comparing human and machine bias in face recognition
Samuel Dooley, Ryan Downing, George Wei, Nathan Shankar, Bradon Thymes, Gudrun Thorkelsdottir, Tiye Kurtz-Miott, Rachel Mattson, Olufemi Obiwumi, Valeriia Cherepanova, et al · 2021
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How google uses pattern recognition to make sense of images, 2021
Google · 2021
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Transformer in transformer
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Towards measuring fairness in ai: the casual conversations dataset
Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, and Cristian Canton Ferrer · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
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Armed low-cost drones, made by turkey, reshape battlefields and geopolitics
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Magface: A universal representation for face recognition and quality assessment
Qiang Meng, Shichao Zhao, Zhida Huang, and Feng Zhou · 2021
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Fairness through robustness: Investigating robustness disparity in deep learning
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, and John P Dickerson · 2021
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Data and its (dis) contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M Bender, Emily Denton, and Alex Hanna · 2021
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Mitigating dataset harms requires stewardship: Lessons from 1000 papers
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Fair bayesian optimization
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About face: A survey of facial recognition evaluation
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Multi-objective asynchronous successive halving
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Face. evolve: A high-performance face recognition library
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Teacher guided neural architecture search for face recognition
Xiaobo Wang · 2021
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Bananas: Bayesian optimization with neural architectures for neural architecture search
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Co-scale conv-attentional image transformers
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Aggregating nested transformers
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A deep dive into dataset imbalance and bias in face identification
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Two-face: Adversarial audit of commercial face recognition systems
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Fairgrape: Fairness-aware gradient pruning method for face attribute classification
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