Kathrin Grosse

13 papers and 90 indexed citations i.

Kathrin Grosse is a scholar working on Artificial Intelligence, Signal Processing and Safety Research. According to data from OpenAlex, Kathrin Grosse has authored 13 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Safety Research. Recurrent topics in Kathrin Grosse’s work include Adversarial Robustness in Machine Learning (8 papers), Advanced Malware Detection Techniques (4 papers) and Ethics and Social Impacts of AI (3 papers). Kathrin Grosse is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Advanced Malware Detection Techniques (4 papers) and Ethics and Social Impacts of AI (3 papers). Kathrin Grosse collaborates with scholars based in Italy, Germany and Switzerland. Kathrin Grosse's co-authors include Battista Biggio, Tarek R. Besold, Ambra Demontis, Fabio Roli and Alexandre Alahi and has published in prestigious journals such as Information Sciences, ACM Computing Surveys and Machine Learning.