Eugene Bagdasaryan

5 papers and 156 indexed citations i.

Eugene Bagdasaryan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Eugene Bagdasaryan has authored 5 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Eugene Bagdasaryan’s work include Adversarial Robustness in Machine Learning (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Cryptography and Data Security (1 paper). Eugene Bagdasaryan is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Cryptography and Data Security (1 paper). Eugene Bagdasaryan collaborates with scholars based in United States. Eugene Bagdasaryan's co-authors include Vitaly Shmatikov, Deborah Estrin, Andreas Veit, Yiqing Hua, Omid Poursaeed, Peter Kairouz, Kallista Bonawitz, Adrià Gascón and Marco Gruteser and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and 2022 IEEE Symposium on Security and Privacy (SP).