An interview with Sheila Jambekar, CPO at Plaid
GDPR compliance, privacy and engineering team collaboration, and common mistakes companies make with their data.
GDPR compliance, privacy and engineering team collaboration, and common mistakes companies make with their data.
Discussing developer responsibility, Bill C-11, positive consent, and the importance of Privacy by Design
“When is anonymization useful?” is a tricky question, because the answer is highly data-type- and task-dependent.
On the misleading ways journalists and industry use the term “anonymization.”
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 Enhancing Technologies Decision Tree:
for developers, managers, and founders looking to
integrate privacy into their software pipelines
and products.
We introduce the four pillars required to achieve perfectly privacy-preserving AI and discuss various technologies that can help address each of the pillars.
We discuss a practical application of homomorphic encryption to privacy-preserving signal processing, particularly focusing on the Fourier transform.
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).