An Arms Race in Intellectual Property Protection of Deep Learning Models
You can also join remotely. See Teams link on the seminar webpage in booking url.
Deep learning models, especially those large-scale and high-performance ones, can be very costly to train, demanding a considerable amount of data and computational resources. As a result, deep learning models have become one of the most valuable assets in modern artificial intelligence. For instance, it can cost $1.6 million to train a BERT model on Wikipedia and Book corpora. It is thus of utmost importance to protect deep learning models from unauthorized duplication or reproduction. This talk will be about threats to deep learning copyright and corresponding defence techniques on copyright protection of deep learning models.
Date: 19 January 2023, 14:30 (Thursday, 1st week, Hilary 2023)
Venue: Wolfson College, Linton Road OX2 6UD
Venue Details: Seminar Room 2 - The Academic Wing
Speaker: Dr. Youcheng Sun (University of Manchester)
Organising department: Wolfson College
Organisers: Prof. Antoniya Georgieva (University of Oxford), Dr. Yi Yin (Wolfson College, University of Oxford)
Organiser contact email address: yi.yin@wrh.ox.ac.uk
Part of: Oxford Cross-Disciplinary Machine Learning (OxfordXML) Research Cluster Seminar Series
Booking required?: Not required
Booking url: https://users.ox.ac.uk/~ndog0178/XML/xml_index.html
Cost: Free. Cake, tea and coffee provided.
Audience: Public
Editor: Yi Yin