Law
Discussing Responsible AI & International Governance
In the previous episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sat down with Dr. Sarah Shoker (Research Scientist at
Blog
Sometimes we take a break from building cutting edge AI redaction models to stretch our academic muscles and write about privacy and machine learning. Check back here regularly for our musings.
Privacy
The Privacy Risk of Language Models
In today’s world, large models with billions of parameters trained on terabytes of datasets have become the norm as language models are the foundations of
Machine Learning
How to Autoscale Kubernetes Pods Based on GPU
There are several resources available on the internet on how to scale your Kubernetes pods based on CPU, but when it comes to Kubernetes pods
Machine Learning
Language Modelling via Learning to Rank
In the previous episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sat down with Arvid Frydenlund (PhD candidate at the University
Law
What Companies Should Know About PII & Protecting It
Personally Identifiable Information (PII) is any data that can be used to identify an individual. This can be done using direct identifiers (name, social security
Privacy
When the Curious Abandon Honesty: Federated Learning Is Not Private
Previously on Private AI’s speaker series CEO, Patricia Thaine, sat down with Franziska Boenisch to discuss her latest paper, ‘When the Curious Abandon Honesty: Federated Learning Is Not Private’. Franziska
Machine Learning
MLOps & Machine Learning Deployment at Scale
In the latest episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sits down to chat about MLOps and Machine Learning Deployment
Privacy
9 Companies to Help You Get Your Privacy $hit Together
With the ever-growing number of global regulations, legislations, and amendments, it can be overwhelming to know where to start (or continue) your data privacy journey.
Machine Learning
Deploying Transformers at Scale
Transformer networks have taken the NLP world by storm, but the sheer size of these networks presents new challenges for deployment, such as how to provide acceptable latency and unit economics.
Machine Learning
Parameter Prediction & Training Without SGD with Prof. Graham Taylor
Previously on Private AI’s Speaker Series, our CEO Patricia Thaine sat down with data privacy law expert Carol Piovesan to talk about the legal ramifications
Privacy
5 Facts You Probably Didn’t Know About Data Privacy
Data privacy, in simplest terms, is the right to control how your personal information is collected and used. Although this may seem obvious, it hasn’t
Law
Data Privacy, Law, and Cybersecurity with Carole Piovesan
Carole Piovesan discusses legal responsibilities, what companies are getting wrong with data governance, and more.
Privacy
An interview with Sheila Jambekar, CPO at Plaid
GDPR compliance, privacy and engineering team collaboration, and common mistakes companies make with their data.
Privacy
Talking with Dr. Ann Cavoukian, Privacy by Design inventor
Discussing developer responsibility, Bill C-11, positive consent, and the importance of Privacy by Design
Privacy
Anonymized Data is Useless: Fact or Fiction
“When is anonymization useful?” is a tricky question, because the answer is highly data-type- and task-dependent.
Privacy
Data Anonymization: Perspectives from a Former Skeptic
On the misleading ways journalists and industry use the term “anonymization.”
Privacy
Demystifying De-identification
Understanding key tech for data protection regulation compliance
Machine Learning
What It Really Takes to Build An AI System: It’s more complicated than many think
There’s a saying ‘the last 20% of the work takes 80% of the time’ and nowhere is that more true than AI systems.
Machine Learning
Natural Language v. Regex: The Context wars
Regexes are highly effective in the perfect world of computer data, but unfortunately the real world is much more complicated.
Privacy
Privacy Tech: Understanding Internet Security
There exists a vibrant ecosystem of specialized security tools. The sad truth is that it is almost impossible to reach 100% invulnerability. What can we do to get closer?
Privacy
Customers Are Demanding Privacy
In the past three years there has been a massive wake-up in customer awareness about privacy. Many customers are now refactoring how they buy, taking their business elsewhere if they don’t trust a company’s data practices.
Privacy
Privacy Enhancing Technologies Decision Tree (V2)
Privacy Enhancing Technologies Decision Tree:
for developers, managers, and founders looking to
integrate privacy into their software pipelines
and products.
Law
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.
Machine Learning
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.
Machine Learning
NVIDIA DALI: Speeding up PyTorch
Some techniques to improve DALI resource usage & create a completely CPU-based pipeline.
Machine Learning
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.
Privacy
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.
Privacy
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).
Machine Learning
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.
Privacy
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.