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Papernot et al., 2018 - Google Patents

Scalable private learning with pate

Papernot et al., 2018

View PDF
Document ID
15500479304618362745
Author
Papernot N
Song S
Mironov I
Raghunathan A
Talwar K
Erlingsson Ã
Publication year
Publication venue
arXiv preprint arXiv:1802.08908

External Links

Snippet

The rapid adoption of machine learning has increased concerns about the privacy implications of machine learning models trained on sensitive data, such as medical records or other personal information. To address those concerns, one promising approach is …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
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    • G—PHYSICS
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06—COMPUTING; CALCULATING; COUNTING
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