Nicolas Papernot

46 papers and 5.5k indexed citations i.

Nicolas Papernot has authored 46 papers that have received a total of 5.5k indexed citations. This includes 43 papers in Artificial Intelligence, 8 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. The topics of these papers are Adversarial Robustness in Machine Learning (31 papers), Privacy-Preserving Technologies in Data (17 papers) and Anomaly Detection Techniques and Applications (12 papers). Nicolas Papernot is often cited by papers focused on Adversarial Robustness in Machine Learning (31 papers), Privacy-Preserving Technologies in Data (17 papers) and Anomaly Detection Techniques and Applications (12 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Nicolas Papernot's co-authors include Patrick McDaniel, Ian Goodfellow, Ilia Shumailov, Christopher A. Choquette-Choo and Úlfar Erlingsson and has published in prestigious journals such as Nature, Communications of the ACM and Journal of Vision.