Giorgio Patrini
Giorgio Patrini
Deeptrace
Verified email at deeptracelabs.com - Homepage
TitleCited byYear
Making deep neural networks robust to label noise: a loss correction approach
G Patrini, A Rozza, A Menon, R Nock, L Qu
arXiv preprint arXiv:1609.03683, 2016
1572016
Loss factorization, weakly supervised learning and label noise robustness
G Patrini, F Nielsen, R Nock, M Carioni
International conference on machine learning, 708-717, 2016
492016
(Almost) No Label No Cry
G Patrini, R Nock, P Rivera, T Caetano
Advances in Neural Information Processing Systems, 190-198, 2014
252014
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
S Hardy, W Henecka, H Ivey-Law, R Nock, G Patrini, G Smith, B Thorne
arXiv preprint arXiv:1711.10677, 2017
222017
Tsallis regularized optimal transport and ecological inference
B Muzellec, R Nock, G Patrini, F Nielsen
Thirty-First AAAI Conference on Artificial Intelligence, 2017
162017
Local search techniques for computing equilibria in two-player general-sum strategic-form games
S Ceppi, N Gatti, G Patrini, M Rocco
Proceedings of the 9th International Conference on Autonomous Agents and …, 2010
162010
Combining local search techniques and path following for bimatrix games
N Gatti, G Patrini, M Rocco, T Sandholm
arXiv preprint arXiv:1210.4858, 2012
142012
Sinkhorn autoencoders
G Patrini, R Berg, P Forré, M Carioni, S Bhargav, M Welling, T Genewein, ...
arXiv preprint arXiv:1810.01118, 2018
122018
Rademacher observations, private data, and boosting
R Nock, G Patrini, A Friedman
International Conference on Machine Learning, 948-956, 2015
112015
Local search methods for finding a Nash equilibrium in two-player games
S Ceppi, N Gatti, G Patrini, M Rocco
IAT, Toronto, Canada, 335-342, 2010
112010
Fast Learning from Distributed Datasets without Entity Matching
G Patrini, R Nock, S Hardy, T Caetano
IJCAI 2016, 2016
62016
Entity Resolution and Federated Learning get a Federated Resolution
R Nock, S Hardy, W Henecka, H Ivey-Law, G Patrini, G Smith, B Thorne
arXiv preprint arXiv:1803.04035, 2018
52018
Privacy-preserving entity resolution and logistic regression on encrypted data
M Djatmiko, S Hardy, W Henecka, H Ivey-Law, M Ott, G Patrini, G Smith, ...
52017
SEALion: a Framework for Neural Network Inference on Encrypted Data
T van Elsloo, G Patrini, H Ivey-Law
arXiv preprint arXiv:1904.12840, 2019
22019
Weakly supervised learning via statistical sufficiency
G Patrini
The Australian National University, 2016
12016
Bridging weak supervision and privacy aware learning via sufficient statistics
G Patrini, F Nielsen, R Nock
NIPS 2015, workshop on Learning and privacy with incomplete data and weak …, 2015
12015
The State Of Deepfakes: Landscape, Threats and Impact
H Ajder, G Patrini, F Cavalli, L Cullen
https://deeptracelabs.com/resources/, 2019
2019
Three Tools for Practical Differential Privacy
KL van der Veen, R Seggers, P Bloem, G Patrini
arXiv preprint arXiv:1812.02890, 2018
2018
The State of Deepfakes: Reality Under Attack
G Patrini, F Cavalli
https://s3.eu-west-2.amazonaws.com/rep2018/2018-the-state-of-deepfakes.pdf …, 2018
2018
Learning from distributed data
R Nock, G Patrini
US Patent App. 15/550,302, 2018
2018
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