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The right to be forgotten requires the removal or "unlearning" of a user's data from machine learning models.
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2017
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2018
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2020
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2022
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2022
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J. Kim and S. S. Woo, “Efficient two-stage model retraining for machine unlearning,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022, pp. 4361–4369
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Meta fined $1.3 billion for violating E.U. data privacy rules. [Online]. Available: https://www.nytimes.com/2023/05/22/business/meta-facebook-eu-privacy-fine.html
2023
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Y. Cao, X. Xiao, R. Sun, D. Wang, M. Xue, and S. Wen, “Stylefool: Fooling video classification systems via style transfer,” in 44th IEEE Symposium on Security and Privacy (IEEE S&P) , 2023, pp. 818–835
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IMARC Group, “Machine learning as a service (MLaaS) market,” 2023
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B. Levin and L. Downes. Who is going to regulate AI? [Online]. Available: https://hbr.org/2023/05/who-is-going-to-regulate-ai
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G. Shmueli, P. C. Bruce, K. R. Deokar, and N. R. Patel, Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining . John Wiley & Sons, 2023
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S. Wang, S. Abuadbba, S. Agarwal, K. Moore, R. Sun, M. Xue, S. Nepal, S. Camtepe, and S. Kanhere, “Publiccheck: Public watermarking verification for deep neural networks,” in 44th IEEE Symposium on Security and Privacy (IEEE S&P) , 2023
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A. Warnecke, L. Pirch, C. Wressnegger, and K. Rieck, “Machine unlearning of features and labels,” in Network and Distributed System Security Symposium (NDSS) , 2023
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K. Yue, R. Jin, C.-W. Wong, D. Baron, and H. Dai, “Gradient obfuscation gives a false sense of security in federated learning,” in USENIX Security Symposium , 2023
2023
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