Privacy

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 natural language processing (NLP) applications. Several of these language models used in commercial products are also being trained on private information. An example would be Gmail’s auto-complete model. Its model … Read more

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 completed a Master’s degree in Computer Science at Freie University Berlin and Technical University Eindhoven. For the past 2.5 years, she has been working at Fraunhofer AISEC as a Research … Read more

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. Below we’ve compiled a list of 9 companies who can help you build a proactive privacy, governance, and risk management strategy within your organization.  1. Establish your company’s privacy baseline … Read more

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 always been the case. With data being generated in mass amounts daily, it’s interesting that the earliest data protection laws like the Data Protection Act only started to emerge in … Read more

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.”

Understanding key tech for data protection regulation compliance