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Preserving the performance of a trained model while removing unique characteristics of marked training data points is challenging.
Bourtoule, L.; Chandrasekaran, V.; Choquette-Choo, C. A.; Jia, H.; Travers, A.; Zhang, B.; Lie, D.; and Papernot, N. 2019 · 1912
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Incremental and Decremental Support Vector Machine Learning
Cauwenberghs, G.; and Poggio, T. A. 2000 · 2000
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Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays
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Multiple incremental decremental learning of support vector machines
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MNIST handwritten digit database
LeCun, Y.; and Cortes, C. 2010 · 2010
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Incremental and decremental training for linear classification
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Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers
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Robust Traceability from Trace Amounts
Dwork, C.; Smith, A. D.; Steinke, T.; Ullman, J. R.; and Vadhan, S. P. 2015 · 2015
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Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
Fredrikson, M.; Jha, S.; and Ristenpart, T. 2015a · 2015
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UCI Machine Learning Repository
Dua, D.; and Graff, C. 2017 · 2017
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On calibration of modern neural networks
Guo, C.; Pleiss, G.; Sun, Y.; and Weinberger, K. Q. 2017 · 2017
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Deep models under the GAN: information leakage from collaborative deep learning
Hitaj, B.; Ateniese, G.; and Perez-Cruz, F. 2017 · 2017
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Densely connected convolutional networks
Huang, G.; Liu, Z.; Van Der Maaten, L.; and Weinberger, K. Q. 2017 · 2017
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Nasr, M.; Shokri, R.; and Houmansadr, A. 2018 · 2018
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Representer point selection for explaining deep neural networks
Yeh, C.-K.; Kim, J. S.; Yen, I. E.; and Ravikumar, P. 2018 · 2018
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Data shapley: Equitable valuation of data for machine learning
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Making AI Forget You: Data Deletion in Machine Learning
Ginart, A.; Guan, M. Y.; Valiant, G.; and Zou, J. 2019 · 2019
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Membership inference attacks against machine learning models
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Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Yeom, S.; Giacomelli, I.; Fredrikson, M.; and Jha, S. 2018 · 2017
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Model inversion attacks that exploit confidence information and basic countermeasures
Fredrikson, M.; Jha, S.; and Ristenpart, T. 2015b
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Certified Data Removal from Machine Learning Models
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A Novel Attribute Reconstruction Attack in Federated Learning
Lyu, L.; and Chen, C. 2021 · 2021
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Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning
Yang, F.; Zhong, Z.; Liu, H.; Wang, Z.; Luo, Z.; Li, S.; Sebe, N.; and Satoh, S. 2021 · 2021
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