Project Origin aims to create a measure of accountability through provenance. By certifying the source of the content like a watermark, we can safeguard against manipulation.
Today, we are experiencing waves of breakthroughs in computing that are transforming just about every aspect of our lives. Artificial intelligence is changing the way we develop and create. Human language technologies are revolutionizing the…
Online trust has come a long way since the time of centralized databases, where information was concentrated in one location and the security and validation of that information relied on a core set of people…
Motivated by our recent work, we are releasing a repository for training transformer models with differential privacy. Our repository is based on integrating the Opacus library to the Hugging Face platform. We aim to serve the privacy-preserving ML community in…
Training transformer models with differential privacy Transformer models have recently taken the field of Natural Language Processing (NLP) by storm as large language models based on the transformer architecture have shown impressive performance across a…
