Saurav Kadavath

2 papers and 436 indexed citations i.

Saurav Kadavath is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Saurav Kadavath has authored 2 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Saurav Kadavath’s work include Advanced Image Processing Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Saurav Kadavath is often cited by papers focused on Advanced Image Processing Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Saurav Kadavath collaborates with scholars based in United States. Saurav Kadavath's co-authors include Dawn Song, Dan Hendrycks, Samyak Parajuli, Fengqiu Wang, Jacob Steinhardt, Justin Gilmer, Norman Mu, Steven Basart, Tyler Zhu and Mantas Mazeika and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Neural Information Processing Systems.