papernot.fr évaluation et analyse
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| Title | Nicolas Papernot - |
| Description | Nicolas Papernot I am an Assistant Professor at the University of Toronto , in the Department of Electrical and Computer Engineering and the Department of |
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Server Information
| WebSite | |
| Host IP | 104.21.81.5 |
| Location | United States |
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papernot.fr Évaluation
|
Euro€2,030,780
Dernière mise à jour: 2022-07-13 15:43:15
papernot.fr a un classement mondial Semrush de 5,211,942. papernot.fr a une valeur estimée à € 2,030,780, sur la base de ses revenus publicitaires estimés. papernot.fr reçoit environ 234,321 visiteurs uniques chaque jour. Son serveur Web est situé au United States, avec l'adresse IP 104.21.81.5.Selon SiteAdvisor, papernot.fr est sûr à visiter. |
Trafic & Estimations de la valeur
| Valeur d'achat/vente | Euro€2,030,780 |
| Revenus publicitaires quotidiens | Euro€1,875 |
| Revenus publicitaires mensuels | Euro€56,237 |
| Revenus publicitaires annuels | Euro€674,844 |
| Visiteurs uniques quotidiens | 15,622 |
| Remarque: Toutes les valeurs de trafic et de revenus sont des estimations. | |
DNS Records
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| papernot.fr. | A | 300 | IP: 104.21.81.5 |
| papernot.fr. | A | 300 | IP: 172.67.136.148 |
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| papernot.fr. | AAAA | 300 | IPV6: 2606:4700:3031::6815:5105 |
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| papernot.fr. | MX | 3600 | MX Record: 10 alt4.aspmx.l.google.com. |
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HtmlToTextCheckTime:2022-07-13 15:43:15
| Nicolas Papernot I am an Assistant Professor at the University of Toronto , in the Department of Electrical and Computer Engineering and the Department of Computer Science. I am also a faculty member at the Vector Institute where I hold a Canada CIFAR AI Chair , and a faculty affiliate at the Schwartz Reisman Institute . In 2022, I was named an Alfred P. Sloan Research Fellow in Computer Science . My research interests are at the intersection of security, privacy, and machine learning. If you would like to learn more about my research, I recommend reading the blog posts I co-authored on cleverhans.io , for example about proof-of-learning , collaborative learning beyond federation, dataset inference , machine unlearning , differentially private ML , or adversarial examples . My research has been cited in the press, including the New York Times , Popular Science , and Wired . I currently serve as an Associate Chair of the IEEE Symposium on Security and Privacy . I earned my Ph.D. in |
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papernot.fr Whois Information
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