auto_awesome
Want to know who else bid on this?
Proposal Forge correlates this contract with the original RFP, the losing bidders, and the next recompete window.
Purpose
This research project will first investigate how vulnerable deep learning models trained on medical data are to model inversion attacks that reconstruct the training data. In a second step, it will implement and evaluate methods that can protect deep learning models against data reconstruction
University of Calgary/Université de Calgary × Office of the Privacy Commissioner of Canada
1 grants totalling $50.0K
Contributions Program
85 grants totalling $3.9M
Related Grants
| Recipient | Amount | Program |
|---|---|---|
| Université du Québec à Montréal | $89.9K | Contributions Program |
| Vancouver Island University | $86.6K | Contributions Program |
| University of Ottawa | $83.7K | Contributions Program |
| Internet of Things Privacy Forum | $81.5K | Contributions Program |
| BC Society of Transition Houses | $60.0K | Contributions Program |