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Distillation as a Defense to Adversarial Perturbations Ag... | ResearchHub
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Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
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Authors
Nicolas Papernot
4 more
Nicolas Papernot
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Patrick McDaniel
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•
Ananthram Swami
Published
May 1, 2016
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Journal
2022 IEEE Symposium on Security and Privacy (SP)
Topics
Computer Science
Machine Learning
Mathematics
Chemistry
Artificial Intelligence
Show all topics
DOI
10.1109/sp.2016.41
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
2022 IEEE Symposium on Security and Privacy (SP)
Topics
Computer Science
Machine Learning
Mathematics
Chemistry
Artificial Intelligence
Show all topics
DOI
10.1109/sp.2016.41
Other Formats
PDF