Gouy-Pailler, Cédric

1. Theoretical evidence for adversarial robustness through randomization
   2019/02/04 by Rafaël Pinot, Pinot, Rafael, Laurent Meunier +11 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
2. Bayesian Model for Multiple Change-points Detection in Multivariate Time Series
   2014/07/11 by Harlé, Flore, Chatelain, Florent, Gouy-Pailler, Cédric +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
3. A unified view on differential privacy and robustness to adversarial examples
   2019/06/19 by Pinot, Rafael, Yger, Florian, Gouy-Pailler, Cédric +1 · 1 citation
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Protecting Data from all Parties: Combining FHE and DP in Federated Learning
   2022/05/09 by Arnaud Grivet Sébert, Sébert, Arnaud Grivet, Renaud Sirdey +5 · 1 citation
   Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #E.3 #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques