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Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries

Alberto Carlo Maria Mancino, Tommaso Di Noia. Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries. In Tommaso Di Noia, In-Young Ko, Markus Schedl, Carmelo Ardito, editors, Web Engineering - 22nd International Conference, ICWE 2022, Bari, Italy, July 5-8, 2022, Proceedings. Volume 13362 of Lecture Notes in Computer Science, pages 455-461, Springer, 2022. [doi]

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