Governments around the world are turning to contact tracing apps to combat the spread of Covid-19. However, privacy concerns are well known because they are shared with other types of apps that use a centralized data storage model.
A recent report revealed that real time buying in the advertising industry does not comply with the set GDPR requirements. With so much concern about privacy, how can you protect your data? In this article, Katherine Barnett examines some of the ways you can keep your data safe and keep sensitive information out of advertisers’ hands.
Worried your ML models might blab about proprietary data? Now, developers can keep their training data isolated from their machine learning models with TensorFlow Privacy. This Python library optimizes ML models without running into any data security or privacy concerns with differential privacy.
When working with blockchain, the protection of sensitive user data becomes the main concern in the age of GDPR. If you need to work with data on public blockchain, here’s how to do it safely.
Sometimes, you just don’t want the world to know your commitment history. Gitmask brings more privacy options to GitHub with anonymous commits.
The General Data Protection Regulation will come into effect next year. Are you in compliance with the new EU privacy and data protection law? Alexsandro Souza explains some common technical GDPR compliance issues and how you can be ready.
A number of organisations have started publicly lobbying US Congress to take action over cybersecurity legislation, with Oracle, Microsoft, Apple and others accused of being on the wrong side of history when its comes to surveillance and users’ privacy.
Google have announced a beta version of their Google Analytics Opt-out Browser Add-on. This add-on prevents data from being sent […]
