Interview with Bala Priya, OpenMined's Featured Contributor for February 2021!
Summary of Peter Kairouz’s talk at the OpenMined Privacy Conference 2020.
What do GPT-2 and GPT-3 know about us?
To improve information flows, we need to understand what exactly is not working today.
Information flows form the basis society. How can we understand them better? Why are they often broken and how can we possibly fix them?
This is a conference talk summary from the OpenMined Privacy Conference 2020 Trends and predictions for privacy startups with:Morgan Mahloc
“Humans are not perfect. They can get distracted and sometimes miss out on subtle speech cues and warning signs. Unfortunately, there is no
Interview with Helena Barmer, OpenMined's Featured Contributor for January 2021!
This is a summary of Duet Tutorial by Andrew Trask which was presented at OpenMined Privacy Conference 2020.Brief intro to federated learnin
Summary of Krzysztof Ostrowski’s talk at the OpenMined Privacy Conference 2020
The use of my private information has long bothered me. However, I have not done much about the right to be forgotten.
Since you clicked open the link to this post, may I be so bold as to assume that you, my dear reader, are as concerned about internet privac
Summary of Dr.Nicolas Papernot's talk at the OpenMined Privacy Conference 2020.
Interview with Laura Ayre, OpenMined's Featured Contributor for December 2020!
Summary: This blog is a summary of the AMA with OpenMined’s NLP team lead and privacy expert Alan Aboudib(link of the video). Alan got his
Summary of Suha S. Hussain’s talk at the OpenMined Privacy Conference 2020.
Interview with Madhava Jay, OpenMined's Featured Contributor for November 2020!
Speaker: Dr.Georgios Kaisssis, MHBA Video Link: https://www.youtube.com/watch?v=F46lX5VIoas&t=21m50s Motivation:AI in medical imaging
Providing encryption to data is good, but to allow working on the encrypted data can be much more beneficial. Here, we explain the concept of Functional Encryption and give a brief comparison with Homomorphic Encryption.
This blog post summarises Fatemeh's Talk on privacy preserving NLP, showing the threats and mitigations with vulnerabilities in the NLP pipeline.
The Reviewed Paper: Preserving Differential Privacy in Convolutional Deep Belief Networks (💐Authors: Nhat Hai Phan, Xintao Wu, Dejing Dou)
Fifth part of the series CKKS explained where we see how to define rescaling
Across research institutions, personal devices, and private companies, humankind is gathering a huge amount of information about ourselves a
Dr. Helen Nissenbaum is one of the world’s most influential philosophers in the privacy space. She is the author of “Privacy in Context: Tec
