A conversation with Dr. Parinaz Sobhani on reverse engineering data and on integrating differential privacy into machine learning models
I have had a number of people ask me why we should bother creating natural language processing (NLP) tools that preserve privacy. Apparently not everyone spends hours upon hours thinking about data breaches and data…
A very brief overview of privacy-preserving technologies follows for anyone who’s interested in starting out in this area. I cover symmetric encryption, asymmetric encryption, homomorphic encryption, differential privacy, and secure…
