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Selective forgetting or removing information from deep neural networks (DNNs) is essential for continual learning and is challenging in controlling the DNNs.
Certified Data Removal from Machine Learning Models
Guo, C.; Goldstein, T.; Hannun, A.; and van der Maaten, L. 2019 · 1911
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Bourtoule, L.; Chandrasekaran, V.; Choquette-Choo, C.; Jia, H.; Travers, A.; Zhang, B.; Lie, D.; and Papernot, N. 2019 · 1912
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The emergence of spectral universality in deep networks
Pennington, J.; Schoenholz, S.; and Ganguli, S. 2018 · 1932
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Golatkar, A.; Achille, A.; and Soatto, S. 2020b · 2003
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Shortcut Learning in Deep Neural Networks
Geirhos, R.; Jacobsen, J.-H.; Michaelis, C.; Zemel, R.; Brendel, W.; Bethge, M.; and Wichmann, F. A. 2020 · 2004
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Li, Y.; Wu, B.; Jiang, Y.; Li, Z.; and Xia, S.-T. 2020 · 2007
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Differential Privacy: A Survey of Results
Dwork, C. 2008 · 2008
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Learning Multiple Layers of Features from Tiny Images
Krizhevsky, A.; et al. 2009 · 2009
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Leakage in Data Mining: Formulation, Detection, and Avoidance
Kaufman, S.; Rosset, S.; Perlich, C.; and Stitelman, O. 2012 · 2012
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3D Object Representations for Fine-Grained Categorization
Krause, J.; Stark, M.; Deng, J.; and Fei-Fei, L. 2013 · 2013
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Model Inversion Attacks That Exploit Confidence Information and Basic Countermeasures
Fredrikson, M.; Jha, S.; and Ristenpart, T. 2015 · 2015
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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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Hybrid Computing using a Neural Network with Dynamic External Memory
Graves, A.; Wayne, G.; Reynolds, M.; Harley, T.; Danihelka, I.; Grabska-Barwińska, A.; Colmenarejo, S. G.; Grefenstette, E.; Ramalho, T.; Agapiou, J.; Badia, A. P.; Hermann, K. M.; Zwols, Y.; Ostrovski, G.; Cain, A.; King, H.; Summerfield, C.; Blunsom, P.; Kavukcuoglu, K.; and Hassabis, D. 2016 · 2016
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Automation, Algorithms, and Politics— Talking to Bots: Symbiotic Agency and the Case of Tay
Neff, G.; and Nagy, P. 2016 · 2016
Cited alongside, same era.
Targeted Backdoor Attacks on Deep Learning Systems using Data Poisoning
Chen, X.; Liu, C.; Li, B.; Lu, K.; and Song, D. 2017 · 2017
Cited alongside, same era.
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Zhu, J.-Y.; Park, T.; Isola, P.; and Efros, A. A. 2017 · 2017
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Fairness in Machine Learning: Lessons from Political Philosophy
Binns, R. 2018 · 2018
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Lifelong Machine Learning: Second Edition
Chen, Z.; Liu, B.; Brachman, R.; Stone, P.; and Rossi, F. 2018 · 2018
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Measuring Catastrophic Forgetting in Neural Networks
Kemker, R.; McClure, M.; Abitino, A.; Hayes, T. L.; and Kanan, C. 2018 · 2018
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Learning without Forgetting
Li, Z.; and Hoiem, D. 2018 · 2018
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Optuna: A Next-generation Hyperparameter Optimization Framework
Akiba, T.; Sano, S.; Yanase, T.; Ohta, T.; and Koyama, M. 2019 · 2019
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Overcoming Catastrophic Forgetting in Neural Networks
Kirkpatrick, J.; Pascanu, R.; Rabinowitz, N.; Veness, J.; Desjardins, G.; Rusu, A. A.; Milan, K.; Quan, J.; Ramalho, T.; Grabska-Barwinska, A.; et al. 2017 · 2017
Cited alongside, same era.
Webvision Database: Visual Learning and Understanding from Web Data
Li, W.; Wang, L.; Li, W.; Agustsson, E.; and Van Gool, L. 2017 · 2017
Cited alongside, same era.
Towards Poisoning of Deep Learning Algorithms with Back-Gradient Optimization
Muñoz González, L.; Biggio, B.; Demontis, A.; Paudice, A.; Wongrassamee, V.; Lupu, E. C.; and Roli, F. 2017 · 2017
Cited alongside, same era.
Why We Should Have Seen That Coming: Comments on Microsoft’s Tay “Experiment,” and Wider Implications
Wolf, M.; Miller, K.; and Grodzinsky, F. 2017 · 2017
Cited alongside, same era.
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Xiao, H.; Rasul, K.; and Vollgraf, R. 2017 · 2017
Cited alongside, same era.
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Golatkar, A.; Achille, A.; and Soatto, S. 2020a
Cited in the paper.
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Making AI Forget You: Data Deletion in Machine Learning
Ginart, A.; Guan, M.; Valiant, G.; and Zou, J. Y. 2019 · 2019
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Continual Lifelong Learning with Neural Networks: A Review
Parisi, G. I.; Kemker, R.; Part, J. L.; Kanan, C.; and Wermter, S. 2019 · 2019
Later among the works it cites.
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks
Umer, M.; Dawson, G.; and Polikar, R. 2020 · 2020
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