ERC Advanced Grant · 2023
Can we decode the training data of a Deep Neural Network (DNN) directly from its parameters? Training data of DNNs are assumed safe. Recent findings by us and by others indicate that this is not the case, with severe implications on Data-Privacy. Yet, such findings shed light on why DNNs perform so well. On a different front: Can we decode what a person saw/heard/thinks directly from their brain activity? This may have huge benefits: communicate with “locked-in” patients, explore dreams, man-machine interfaces, enhance our understanding of the human brain. No risk of violating human privacy here, as thoughts do not “float” in the air and person’s collaboration is required. Each of those 2…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.