Kathrin Grosse

1.7k total citations
15 papers, 154 citations indexed

About

Kathrin Grosse is a scholar working on Artificial Intelligence, Safety Research and Signal Processing. According to data from OpenAlex, Kathrin Grosse has authored 15 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Safety Research and 3 papers in Signal Processing. Recurrent topics in Kathrin Grosse's work include Adversarial Robustness in Machine Learning (8 papers), Ethics and Social Impacts of AI (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Kathrin Grosse is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Ethics and Social Impacts of AI (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Kathrin Grosse collaborates with scholars based in Switzerland, Italy and Germany. Kathrin Grosse's co-authors include Battista Biggio, Ana Gabriela Maguitman, Carlos Iván Chesñevar, Marcello Pelillo, Ambra Demontis, Fabio Roli, María Paula González, Alina Oprea, Werner Zellinger and Sebastiano Vascon and has published in prestigious journals such as ACM Computing Surveys, Information Sciences and Computer.

In The Last Decade

Kathrin Grosse

13 papers receiving 146 citations

Peers

Kathrin Grosse

CNC

Maura Pintor Italy

Vegard Engen United Kingdom

Giovanni Cherubin United Kingdom

Rajvardhan Oak United States

Phillip Rieger Germany

Zelong Li China

Chengfang Fang Singapore

Ehtesham Hashmi Norway

Sailik Sengupta United States

Halim Sayoud Algeria

Maura Pintor Italy

Kathrin Grosse

85 ×0.7

35 ×0.8

22 ×0.8

CNC

25 ×1.3

17 ×1.2

Citations per year, relative to Kathrin Grosse Kathrin Grosse (= 1×) peers Maura Pintor

Countries citing papers authored by Kathrin Grosse

Since Specialization

Citations

This map shows the geographic impact of Kathrin Grosse's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kathrin Grosse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathrin Grosse more than expected).

Fields of papers citing papers by Kathrin Grosse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathrin Grosse. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kathrin Grosse. The network helps show where Kathrin Grosse may publish in the future.

Co-authorship network of co-authors of Kathrin Grosse

This figure shows the co-authorship network connecting the top 25 collaborators of Kathrin Grosse. A scholar is included among the top collaborators of Kathrin Grosse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kathrin Grosse. Kathrin Grosse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Llorca, David Fernández, Ronan Hamon, H. Junklewitz, et al.. (2025). Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness. European Transport Research Review. 17(1). 2 indexed citations

Messaoud, Kaouther, et al.. (2025). Manipulating Trajectory Prediction Models With Backdoors. IEEE Transactions on Intelligent Transportation Systems. 26(12). 22962–22973.

Grosse, Kathrin & Alexandre Alahi. (2024). A qualitative AI security risk assessment of autonomous vehicles. Transportation Research Part C Emerging Technologies. 169. 104797–104797. 3 indexed citations

Grosse, Kathrin, et al.. (2024). When Your AI Becomes a Target: AI Security Incidents and Best Practices. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23041–23046. 2 indexed citations

Grosse, Kathrin, et al.. (2024). Machine Learning Security Against Data Poisoning: Are We There Yet?. Computer. 57(3). 26–34. 12 indexed citations

Grosse, Kathrin, Sebastiano Vascon, Ambra Demontis, et al.. (2024). Backdoor learning curves: explaining backdoor poisoning beyond influence functions. International Journal of Machine Learning and Cybernetics. 16(3). 1779–1804.

Grosse, Kathrin, et al.. (2024). Voices from the Frontline: Revealing the AI Practitioners' viewpoint on the European AI Act. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations

Eghbal-zadeh, Hamid, Werner Zellinger, Maura Pintor, et al.. (2023). Rethinking data augmentation for adversarial robustness. Information Sciences. 654. 119838–119838. 4 indexed citations

Grosse, Kathrin, et al.. (2023). Machine Learning Security in Industry: A Quantitative Survey. IEEE Transactions on Information Forensics and Security. 18. 1749–1762. 22 indexed citations

10.

Grosse, Kathrin, Ambra Demontis, Sebastiano Vascon, et al.. (2023). Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Computing Surveys. 55(13s). 1–39. 58 indexed citations

11.

Grosse, Kathrin, Taesung Lee, Battista Biggio, et al.. (2022). Backdoor smoothing: Demystifying backdoor attacks on deep neural networks. Computers & Security. 120. 102814–102814. 9 indexed citations

12.

Grosse, Kathrin, María Paula González, Carlos Iván Chesñevar, & Ana Gabriela Maguitman. (2015). Integrating argumentation and sentiment analysis for mining opinions from Twitter. AI Communications. 28(3). 387–401. 22 indexed citations

13.

Grosse, Kathrin, Carlos Iván Chesñevar, Ana Gabriela Maguitman, & Elsa Estévez. (2012). Empowering an E-Government Platform Through Twitter-Based Arguments. Redalyc (Universidad Autónoma del Estado de México). 15(50). 46–56. 5 indexed citations

14.

Grosse, Kathrin & Carlos Iván Chesñevar. (2012). A First Approach Towards Integrating Twitter and Defeasible Argumentation. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 1 indexed citations

15.

Grosse, Kathrin, Carlos Iván Chesñevar, & Ana Gabriela Maguitman. (2012). An Argument-based Approach to Mining Opinions from Twitter.. 408–422. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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