Dan Hendrycks
About
Dan Hendrycks has authored 15 papers that have received a total of 1.1k indexed citations.
This includes 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. The topics of these papers are Adversarial Robustness in Machine Learning (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (3 papers). Dan Hendrycks is often cited by papers focused on Adversarial Robustness in Machine Learning (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (3 papers) and collaborates with scholars based in United States, Australia and Singapore. Dan Hendrycks's co-authors include Dawn Song, Mantas Mazeika, Jacob Steinhardt, Steven Basart and Justin Gilmer and has published in prestigious journals such as Proceedings of the VLDB Endowment and Patterns
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