Research Group Johannes Kinder
Johannes Kinder
Prof. Dr.
Collaborating PI
Johannes Kinder
holds the Chair of Programming Languages and Artificial Intelligence at LMU Munich.
His research focuses on securing software through automated methods. His team builds systems to analyze software and understand its properties and purpose, and to harden software against malicious attacks.
Team members @MCML
PhD Students
Moritz Dannehl
→ Group Johannes Kinder
Programming Languages and Artificial Intelligence
Sebastian Eckl
→ Group Johannes Kinder
Programming Languages and Artificial Intelligence
Samuel Valenzuela
→ Group Johannes Kinder
Programming Languages and Artificial Intelligence
Yunru Wang
→ Group Johannes Kinder
Programming Languages and Artificial Intelligence
Recent News @MCML
Publications @MCML
2026
ALPHA: Active Learning with PAC-Bayesian Theory for Android Malware Detection.
Preprint (May. 2026). URL GitHub
Pretraining on Call Graphs: When Binary Analysis Tasks Profit From Context.
ICPC 2026 - 34th IEEE/ACM International Conference on Program Comprehension. Rio de Janeiro, Brazil, Apr 12-13, 2026. To be published. Preprint available. URL PDF
2025
BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding.
USENIX-Security 2025 - 34th USENIX Security Symposium. Seattle, WA, USA, Aug 13-15, 2025. PDF
CodeX: Contextual Flow Tracking for Browser Extensions.
CODASPY 2025 - 15th ACM Conference on Data and Application Security and Privacy. Pittsburgh, PA, USA, Jun 04-06, 2025. DOI
Which Instructions Matter the Most: A Saliency Analysis of Binary Function Embedding Models.
DLSP @SPW 2025 - 8th Deep Learning Security and Privacy Workshop at the 46th IEEE Symposium on Security and Privacy. San Francisco, CA, May 15, 2025. DOI
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2024-12-27 - Last modified: 2026-04-10