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Generative models can serve as surrogates for some real data sources by creating synthetic training datasets, but in doing so they may transfer biases to downstream tasks.
Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments
Huang, G. B.; Ramesh, M.; Berg, T.; and Learned-Miller, E. 2007 · 2007
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Learning face representation from scratch
Yi, D.; Lei, Z.; Liao, S.; and Li, S. Z. 2014 · 2014
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Deep Learning Face Attributes in the Wild
Liu, Z.; Luo, P.; Wang, X.; and Tang, X. 2015 · 2015
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Frontal to profile face verification in the wild
Sengupta, S.; Chen, J.-C.; Castillo, C.; Patel, V. M.; Chellappa, R.; and Jacobs, D. W. 2016 · 2016
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Agedb: the first manually collected, in-the-wild age database
Moschoglou, S.; Papaioannou, A.; Sagonas, C.; Deng, J.; Kotsia, I.; and Zafeiriou, S. 2017 · 2017
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Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments
Zheng, T.; Deng, W.; and Hu, J. 2017 · 2017
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Buolamwini, J.; and Gebru, T. 2018 · 2018
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Fair and diverse DPP-based data summarization
Celis, E.; Keswani, V.; Straszak, D.; Deshpande, A.; Kathuria, T.; and Vishnoi, N. 2018 · 2018
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Iarpa janus benchmark-c: Face dataset and protocol
Maze, B.; Adams, J.; Duncan, J. A.; Kalka, N.; Miller, T.; Otto, C.; Jain, A. K.; Niggel, W. T.; Anderson, J.; Cheney, J.; et al. 2018 · 2018
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Social cues, social biases: stereotypes in annotations on people images
Otterbacher, J. 2018 · 2018
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Cross-pose LFW: A database for studying cross-pose face recognition in unconstrained environments
Zheng, T.; and Deng, W. 2018 · 2018
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Seeing what a gan cannot generate
Bau, D.; Zhu, J.-Y.; Wulff, J.; Peebles, W.; Strobelt, H.; Zhou, B.; and Torralba, A. 2019 · 2019
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Deng, J.; Guo, J.; Xue, N.; and Zafeiriou, S. 2019 · 2019
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A style-based generator architecture for generative adversarial networks
Karras, T.; Laine, S.; and Aila, T. 2019 · 2019
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Characterizing bias in classifiers using generative models
McDuff, D.; Ma, S.; Song, Y.; and Kapoor, A. 2019 · 2019
Cited alongside, same era.
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network
Wang, M.; Deng, W.; Hu, J.; Tao, X.; and Huang, Y. 2019 · 2019
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Analyzing and improving the image quality of stylegan
Karras, T.; Laine, S.; Aittala, M.; Hellsten, J.; Lehtinen, J.; and Aila, T. 2020 · 2020
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses
Jain, N.; Olmo, A.; Sengupta, S.; Manikonda, L.; and Kambhampati, S. 2022 · 2022
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Adaface: Quality adaptive margin for face recognition
Kim, M.; Jain, A. K.; and Liu, X. 2022 · 2022
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Meta Balanced Network for Fair Face Recognition
Wang, M.; Zhang, Y.; and Deng, W. 2022 · 2022
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Synthetic data from diffusion models improves imagenet classification
Azizi, S.; Kornblith, S.; Saharia, C.; Norouzi, M.; and Fleet, D. J. 2023 · 2023
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Dall-eval: Probing the reasoning skills and social biases of text-to-image generation models
Cho, J.; Zala, A.; and Bansal, M. 2023 · 2023
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Quality-Diversity Optimization: a novel branch of stochastic optimization
Chatzilygeroudis, K.; Cully, A.; Vassiliades, V.; and Mouret, J.-B. 2021 · 2021
Cited alongside, same era.
Illuminating mario scenes in the latent space of a generative adversarial network
Fontaine, M. C.; Liu, R.; Khalifa, A.; Modi, J.; Togelius, J.; Hoover, A. K.; and Nikolaidis, S. 2021 · 2021
Cited alongside, same era.
Faircrowd: Fair human face dataset sampling via batch-level crowdsourcing bias inference
Kou, Z.; Zhang, Y.; Shang, L.; and Wang, D. 2021 · 2021
Cited alongside, same era.
The effects of regularization and data augmentation are class dependent
Balestriero, R.; Bottou, L.; and LeCun, Y. 2022 · 2022
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Ding, L.; Zhang, J.; Clune, J.; Spector, L.; and Lehman, J. 2023 · 2023
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Covariance matrix adaptation map-annealing
Fontaine, M.; and Nikolaidis, S. 2023 · 2023
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Fair diffusion: Instructing text-to-image generation models on fairness
Friedrich, F.; Schramowski, P.; Brack, M.; Struppek, L.; Hintersdorf, D.; Luccioni, S.; and Kersting, K. 2023 · 2023
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Zero-shot racially balanced dataset generation using an existing biased StyleGAN2
Jain, A.; Memon, N.; and Togelius, J. 2023 · 2023
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StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Tian, Y.; Fan, L.; Isola, P.; Chang, H.; and Krishnan, D. 2023 · 2023
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