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nocturne protocol @vectorinversion
Joined July 2014
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arxiv.org/abs/2201.04018 @gg159136

Feature Space Hijacking Attacks against Differentially Private...

Split learning and differential privacy are technologies with growing potential to help with privacy-compliant advanced analytics on distributed datasets. Attacks against split learning are an...

arxiv.org
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nocturne protocol retweeted
David Valerio Gilmore
@davidvgilmore
9 Aug 2021
ML models memorize training data, a major #privacy problem for data collaboration, even w/ #federatedlearning @gg159136 and @vectorinversion gave a fantastic preso at @opendp_org this morning on applying #differentialprivacy to #splitlearning to solve this More to come!
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noaa-19 storm francis
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nice noaa 19 pass
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image-super-resolution with Artefact Cancelling GANS model: github.com/idealo/image-supe…

GitHub - idealo/image-super-resolution: 🔎 Super-scale your images and run experiments with...

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. - idealo/image-super-resolution

github.com
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nocturne protocol retweeted
DataFleets@DataFleets
28 May 2020
Excited to share our first technical blogpost in partnership with @openminedorg! We explore the potential of Federated Learning to revolutionize one of the prominent data-centric industries: credit scoring. blog.openmined.org/federated…

Federated Learning for Credit Scoring

Want bureaus to score your credit without hoarding your data? Find out how FL can enable privacy-preserving, cross-border credit assessment

openmined.org
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