Privacy-Preserving Machine Learning (PPML)
47 articles

Content on techniques that allow machine learning on private data without compromising security.

Advancing Research on Sensitive Personal Health Data with Syft
PySyft Cracks Top 10 List of Most Popular Open-Source AI Libraries in the UK
ML Privacy Meter: Aiding Regulatory Compliance by quantifying the privacy risks of machine learning
Design a federated learning system in seven steps
Making autonomous vehicles robust with active learning, federated learning & V2X communication
Private AI: Machine Learning on Encrypted Data
Confidential Computing Explained. Part 2 : Attestation
Confidential computing explained. Part 1: introduction
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Conference Summary: End-to-end privacy-preserving deep learning on multi-institutional medical imaging data
Conference Talk Summary: Privacy-Preserving Natural Language Processing by Fatemehsadat Mireshghallah
Encrypted Inference using ResNet-18

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