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BibTeX record journals/corr/abs-2110-05057
@article{DBLP:journals/corr/abs-2110-05057, author = {Guy Heller and Ethan Fetaya}, title = {Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?}, journal = {CoRR}, volume = {abs/2110.05057}, year = {2021}, url = {https://arxiv.org/abs/2110.05057}, eprinttype = {arXiv}, eprint = {2110.05057}, timestamp = {Thu, 21 Oct 2021 16:20:08 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2110-05057.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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