Amazon is helping develop standards for post-quantum cryptography and deploying promising technologies for customers to experiment with.| Amazon Science
Private aggregation of teacher ensembles (PATE) leads to word error rate reductions of more than 26% relative to standard differential-privacy techniques.| Amazon Science
Calibrating noise addition to word density in the embedding space improves utility of privacy-protected text.| Amazon Science
Technique that mixes public and private training data can meet differential-privacy criteria while cutting error increase by 60%-70%.| Amazon Science
Amazon Scholar Joan Feigenbaum talks about two cryptographic techniques that are being used to address cloud-computing privacy concerns and accelerate enterprise cloud adoption.| Amazon Science