- Видео 5
- Просмотров 814
Probably Private
Добавлен 25 май 2023
Probably Private is a channel for privacy and data science enthusiasts. Whether you are here to learn about data science via the lens of privacy, or the other way around, this newsletter aims to be an open conversation on technical and social aspects of privacy and its intersections with surveillance, law, technology, mathematics and probability.
How machine learning training and evaluation contribute to memorization
In this video, I'll walk you through the third article in the memorization series, looking at how deep learning models are trained and evaluated. In doing so, you'll encounter questions about if this is the best way to build machine learning systems and how this can incentivize humans and models to memorize training data.
Article for this video: blog.kjamistan.com/gaming-evaluation-the-evolution-of-deep-learning-training-and-evaluation.html
Article Series: blog.kjamistan.com/a-deep-dive-into-memorization-in-deep-learning.html
Play around with other fun memorized training data examples (like the swing one!): pluskid.github.io/influence-memorization/
Article for this video: blog.kjamistan.com/gaming-evaluation-the-evolution-of-deep-learning-training-and-evaluation.html
Article Series: blog.kjamistan.com/a-deep-dive-into-memorization-in-deep-learning.html
Play around with other fun memorized training data examples (like the swing one!): pluskid.github.io/influence-memorization/
Просмотров: 12
Видео
Memorization in ML Series: Encodings and Embeddings
Просмотров 23День назад
In this video, you'll get an overview of how data gets encoded in order to perform deep learning. You'll learn a brief introduction to how this evolved in early machine learning and connect the concept to why and how embeddings in NLP / language model systems can end up leaking biases and sensitive information. You can read the full article: blog.kjamistan.com/encodings-and-embeddings-how-does-...
Memorization in Machine Learning Series: Dataset distributions, history, and biases
Просмотров 3514 дней назад
In this video, I'll walk you through properties, history and biases of how machine learning dataset creation works. These are important fundamentals to understand for both using machine learning systems, but also understanding how and why memorization happens. The blog series page is located at: blog.kjamistan.com/a-deep-dive-into-memorization-in-deep-learning.html The article on datasets is he...
Privacy Engineering with Nigel Smart
Просмотров 211Год назад
In this edition, you'll learn about another face of privacy engineering - the cryptographic side! Dr. Nigel Smart, a world renowned cryptographer, leads you through the concept of collaborative computing, where individuals, companies and organizations can share data to compute things without revealing their data to each other. As a long-time researcher and advisor to many startups, including hi...
What is Privacy Engineering? With Damien Desfontaines
Просмотров 535Год назад
Explore the world of privacy engineering with today's leading experts, including Damien Desfontaines, a pioneer in the field of usable differential privacy and anonymization. Damien started his career at Google and now leads open-source development for Tumult Labs, helping organizations like the US Census Bureau deploy anonymization at scale. Please check out his work using the links in the com...
This is awesome. Waiting for more content on Privacy Engineering!!
Interesting Links: Damien's Post: What does a Privacy Engineer do, anyway? desfontain.es/privacy/privacy-engineer.html Damien's Blog: desfontain.es/privacy/index.html Tumult Labs Library: docs.tmlt.dev/analytics/latest/ Damien on LinkedIn: www.linkedin.com/in/desfontaines/ On Twitter: twitter.com/tedonprivacy/ On Mastodon: hachyderm.io/@tedted