Amin Ghiasi
About
Amin Ghiasi has authored 4 papers that have received a total of 47 indexed citations.
This includes 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. The topics of these papers are Adversarial Robustness in Machine Learning (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Amin Ghiasi is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper) and collaborates with scholars based in United States and Germany. Amin Ghiasi's co-authors include Tom Goldstein, Ali Shafahi, Chen Zhu, Christoph Studer and Furong Huang and has published in prestigious journals such as and
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