Liability & AI Malfunction: An AI System Developer’s Perspective
AI is rapidly being deployed around the world with few to follow. Along with the complexity of creating the technology, there remain many unanswered legal questions.
Accelerating Tensorflow Lite with XNNPACK
The new Tensorflow Lite XNNPACK delegate enables best in-class performance on x86 and ARM CPUs — over 10x faster than the default Tensorflow Lite backend in some cases.
NVIDIA DALI: Speeding up PyTorch
Some techniques to improve DALI resource usage & create a completely CPU-based pipeline.
The Four Pillars of Privacy-Preserving AI
We introduce the four pillars required to achieve perfectly privacy-preserving AI and discuss various technologies that can help address each of the pillars.
Part 2: Homomorphic Encryption for Beginners
We discuss a practical application of homomorphic encryption to privacy-preserving signal processing, particularly focusing on the Fourier transform.
Terms & Service
Terms and Conditions of Use Last updated June, 2024 These terms and conditions of use (including all agreements, policies or other documents incorporated by reference herein, each as amended, restated, modified, or replaced from time to time by Private AI Inc. (“Private AI”), collectively, the “Terms”) apply to and govern your use of Private AI’s … Read more
Privacy Statement
Privacy Statement Last updated September 2023 Private AI’s raison d’être is to render personal data safe when put to use for the many beneficial purposes it can serve. While our products are built to protect your customers’ data, this Privacy Statement is for you, our customer. This Privacy Statement explains to you how Private AI … Read more
Part 1: Homomorphic Encryption for Beginners
We cover the basics of homomorphic encryption, followed by a brief overview of open source HE libraries and a tutorial on how to use one of those libraries (namely, PALISADE).
Why is Privacy-Preserving NLP Important?
A number of people ask us why we should bother creating NLP tools that preserve privacy. Apparently not everyone spends hours thinking about data breaches and privacy infringements.
A Brief Overview of Privacy-Preserving Technology Methods
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.