by Pieter Luitjens | Feb 3, 2021 | Machine Learning, Privacy, Security
The past decade has seen AI advance in leaps and bounds, with Deep Learning (DL) enabling many new applications and redefining industries. Computer Vision has had a particularly significant impact: without it, DL computers could not reliably process real-world images...
by Patricia Thaine | Dec 14, 2020 | Privacy, Security
There exists a vibrant ecosystem of specialized security tools. The sad truth is that it is almost impossible to reach 100% invulnerability. Until recently, one of the main tools that organizations had in their toolbox were symmetric and asymmetric encryption to...
by Patricia Thaine | Jan 1, 2020 | Machine Learning, Privacy, Security
Data privacy has been called “the most important issue in the next decade,” and has taken center stage thanks to legislation like the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Companies, developers, and...
by Patricia Thaine | Dec 26, 2018 | Privacy, Security
We will first go over the basics of homomorphic encryption, followed by a brief overview of the open source homomorphic encryption libraries that are currently available, then will finish with a tutorial on how to use one of those libraries (namely, PALISADE). For...
by Patricia Thaine | Mar 22, 2018 | Privacy, Security
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 multi-party computation. Symmetric...
