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Machine Learning
Cape Privacy (Formerly Dropout Labs)
Privacy & Trust Management for Machine Learning. Operationalize compliance for collaborative machine learning across your organization.
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381
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Machine Learning
Yann Dupis
in
Cape Privacy (Formerly Dropout Labs)
Jul 31, 2020
Cape Python: Apply Privacy-Enhancing Techniques to Protect Sensitive Data in Pandas and Spark
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390
Jason Mancuso
in
Cape Privacy (Formerly Dropout Labs)
Jan 10, 2020
Privacy-Preserving Machine Learning 2019: A Year in Review
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351
1 response
Justin Patriquin
in
Cape Privacy (Formerly Dropout Labs)
Dec 18, 2019
Federated Learning with Secure Aggregation in TensorFlow
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174
Jason Mancuso
in
Cape Privacy (Formerly Dropout Labs)
Oct 24, 2019
Introducing PySyft TensorFlow
We’re excited to announce our contribution of TensorFlow support to…
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376
1 response
Yann Dupis
in
Cape Privacy (Formerly Dropout Labs)
Aug 23, 2019
Encrypted Deep Learning Training and Predictions with TF Encrypted Keras
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446
4 responses
Justin Patriquin
in
Cape Privacy (Formerly Dropout Labs)
Aug 8, 2019
Bridging Microsoft SEAL into TensorFlow
The road to machine learning with homomorphic encryption
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193
1 response
Yann Dupis
in
Cape Privacy (Formerly Dropout Labs)
Jun 13, 2019
A Path to Sub-Second, Encrypted Skin Cancer Detection
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373
Morten Dahl
in
Cape Privacy (Formerly Dropout Labs)
May 17, 2019
Growing TF Encrypted
And officially becoming a community project
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374
1 response
Ian Livingstone
in
Cape Privacy (Formerly Dropout Labs)
May 2, 2019
Dropout Labs wins the Confidential Computing Challenge!
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320
Justin Patriquin
in
Cape Privacy (Formerly Dropout Labs)
Feb 6, 2019
Secure Logistic Regression: MPC vs Enclave Benchmark
With
Ben DeCoste
.
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476
1 response