Timon Gehr
About
Timon Gehr has authored 12 papers that have received a total of 674 indexed citations.
This includes 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Adversarial Robustness in Machine Learning (7 papers), Advanced Neural Network Applications (4 papers) and Privacy-Preserving Technologies in Data (2 papers). Timon Gehr is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Advanced Neural Network Applications (4 papers) and Privacy-Preserving Technologies in Data (2 papers) and collaborates with scholars based in Switzerland, United States and Bulgaria. Timon Gehr's co-authors include Martin Vechev, Petar Tsankov, Matthew Mirman, Gagandeep Singh and Dana Drachsler-Cohen and has published in prestigious journals such as ACM SIGPLAN Notices and Proceedings of the ACM on Programming Languages
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