Patrini, Giorgio
- Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
2016/09/13 by Giorgio Patrini, Alessandro Rozza, Patrini, Giorgio +7 · 27 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
2017/11/29 by Stephen Hardy, Hardy, Stephen, Wilko Henecka +11 · 42 citations
Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Stochastic Gradient Optimization Techniques
- Tsallis Regularized Optimal Transport and Ecological Inference
2016/09/15 by Muzellec, Boris, Nock, Richard, Patrini, Giorgio +1 · 6 citations
#FOS: Computer and information sciences #G.1.6 #Machine Learning (cs.LG)
- SEALion: a Framework for Neural Network Inference on Encrypted Data
2019/04/29 by Tim van Elsloo, Giorgio Patrini, van Elsloo, Tim +3 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
- Three Tools for Practical Differential Privacy
2018/12/07 by Koen Lennart van der Veen, van der Veen, Koen Lennart, Ruben Seggers +5 · 2 citations
Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data
- Entity Resolution and Federated Learning get a Federated Resolution
2018/03/11 by Nock, Richard, Hardy, Stephen, Henecka, Wilko +4 · 1 citation
#C.2.4 #Databases (cs.DB) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG)