Who collaborates with Leo Schwinn?

Atlas records 30 co-authors for Leo Schwinn, who works on Adversarial Robustness in Machine Learning; the 17 strongest connections are shown. The strongest collaboration is with Stephan Günnemann (24 joint papers).
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Top co-authors

ResearcherJoint papersCited
Stephan Günnemann2416,055
Yan Scholten485
Gauthier Gidel10828
Marcel Kollovieh341
Leon Götz40
Simon Geisler41,369
David Dobre531
Mohamed Amine Ketata134
Kyle Sprague113
Marten Lienen1329
florence regol1160
Mark Coates17,037
Alessandro Sordoni17,775
Thomas Altstidl838
Hanno Gottschalk11,211
Fabian Hüger1611
Joachim Sicking1275

Research topics

TopicFieldPapers
Adversarial Robustness in Machine LearningComputer Science28
Anomaly Detection Techniques and ApplicationsComputer Science11
Explainable Artificial Intelligence (XAI)Computer Science9
Topic ModelingComputer Science8
Time Series Analysis and ForecastingComputer Science7

Topics reflect this author's top 5 in OpenAlex; secondary areas may be missing.

Representative papers

TitleYearCited
Exploring misclassifications of robust neural networks to enhance adversarial attacks202352
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring202131
System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data202122
Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach202313
Exploring the interrelationship between the skin microbiome and skin volatiles: A pilot study202313
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats202312
Can you smell my stress? Influence of stress chemosignals on empathy and emotion recognition in depressed individuals and healthy controls202310
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks20235
Cite: Researcher Atlas, "Who collaborates with Leo Schwinn?", data version 2026.07-r1, https://researcher-atlas.com/researcher/leo-schwinn-a5028233502/