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Privacy-Preserving Aggregation of Time-Series Data with Public Verifiability from Simple Assumptions
Aggregator Oblivious Encryption Public Verifiability
2017/5/31
Aggregator oblivious encryption was proposed by Shi et al. (NDSS 2011), where an aggregator can compute an aggregated sum of data and is unable to learn anything else (aggregator obliviousness). Since...
SecureML: A System for Scalable Privacy-Preserving Machine Learning
Privacy-preserving machine learning secure computation
2017/5/11
Machine learning is widely used in practice to produce predictive models for applications such as image processing, speech and text recognition. These models are more accurate when trained on large am...