Kathrin Grosse
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Security and Verification in Computing
Papers in
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- Adversarial Robustness in Machine Learning 13
- Multi-Agent Systems and Negotiation 3
- Anomaly Detection Techniques and Applications 3
- Domain Adaptation and Few-Shot Learning 2
- Advanced Text Analysis Techniques 2
- Semantic Web and Ontologies 2
-
- Advanced Malware Detection Techniques 5
- Co-authors
- Michael Backes (5 shared papers)Praveen Manoharan (1 shared paper)Nicolas Papernot (1 shared paper)Patrick Drew McDaniel (1 shared paper)Battista Biggio (7 shared papers)Carlos Iván Chesñevar (5 shared papers)Ana Gabriela Maguitman (4 shared papers)Marcello Pelillo (3 shared papers)
- Journals
- European Transport Research Review (1 paper)Machine Learning (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)Journal of the Association for Information Systems (1 paper)Computers & Security (1 paper)
- Partner nations
- GermanyItalySwitzerland
In The Last Decade
Kathrin Grosse
19 papers receiving 585 citations
Kathrin Grosse's Hit Papers
Peers
Comparison fields: 5 of 52
- Signal Processing 338
- Artificial Intelligence 441
- Computer Networks and Communications 234
- Software 39
- Health Informatics 6
Countries citing papers authored by Kathrin Grosse
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
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-authors
The 25 scholars most cited alongside Kathrin Grosse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adversarial Examples for Malware Detection Hit paper breakdown → | 2017 | 374 |
| 2 | 2023 | 83 | |
| 3 | 2015 | 29 | |
| 4 | 2023 | 27 | |
| 5 | 2024 | 19 | |
| 6 | An Argument-based Approach to Mining Opinions from Twitter. | 2012 | 18 |
| 7 | 2022 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 7 | |
| 10 | Empowering an E-Government Platform Through Twitter-Based Arguments | 2012 | 6 |
| 11 | 2021 | 6 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2013 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2021 | 1 | |
| 18 | A First Approach Towards Integrating Twitter and Defeasible Argumentation | 2012 | 1 |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Kathrin Grosse
Kathrin Grosse is a scholar working on Artificial Intelligence, Signal Processing, Safety Research, Automotive Engineering and Software, having authored 21 papers that have together received 603 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (13 papers), Advanced Malware Detection Techniques (5 papers), Ethics and Social Impacts of AI (4 papers), Multi-Agent Systems and Negotiation (3 papers), Anomaly Detection Techniques and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Text Analysis Techniques (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Signal Processing (338 citations), Artificial Intelligence (441 citations), Computer Networks and Communications (234 citations), Software (39 citations) and Health Informatics (6 citations). Kathrin Grosse has collaborated with scholars based in Germany, Italy and Switzerland. Frequent co-authors include Michael Backes, Praveen Manoharan, Nicolas Papernot, Patrick Drew McDaniel, Battista Biggio, Carlos Iván Chesñevar, Ana Gabriela Maguitman, Marcello Pelillo, Ambra Demontis and Fabio Roli. Their work appears in journals such as European Transport Research Review, Machine Learning, International Journal of Machine Learning and Cybernetics, Journal of the Association for Information Systems and Computers & Security.
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.