Private AI
GDPR in Germany: Challenges of German Data Privacy
With more than 100 million German speakers worldwide, there are many use cases for redacting personal data from German text, including compliance with the GDPR in Germany and elsewhere. With many privacy-preserving de-identification solutions being optimized for English, you might expect that transferring the same approaches to its close linguistic relative, German, would be simple. … Read more
Private AI and Mila Announce Partnership to Elevate Data Privacy Research
Private AI et Mila annoncent un partenariat pour faire progresser la recherche sur la confidentialité des données
Top 7 Differential Privacy Papers for Language Modeling
Differential privacy is a hot topic given the many conflicting opinions on its effectiveness. For some background, we previously wrote a comprehensive post on the Basics of Differential Privacy where we discussed the risks and how it can also enhance natural language understanding (NLU) models. The differential privacy papers in this post are just a … Read more
The Basics of Differential Privacy & Its Applicability to NLU Models
Over the years, large pre-trained language models like BERT and Roberta have led to significant improvements in natural language understanding (NLU) tasks. However, these pre-trained models pose a risk of potential data leakage if the training data includes any personally identifiable information (PII). To mitigate this risk, there are two common techniques to preserve privacy: … Read more
