Research Group Johannes Kinder
Johannes Kinder
Prof. Dr.
Associate
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
2025
[3]
T. Benoit • Y. Wang • M. Dannehl • J. Kinder
BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding.
USENIX-Security 2025 - 34th USENIX Security Symposium. Seattle, WA, USA, Aug 13-15, 2025. PDF
BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding.
USENIX-Security 2025 - 34th USENIX Security Symposium. Seattle, WA, USA, Aug 13-15, 2025. PDF
[2]
M. Ahmadpanah • M. Gobbi • D. Hedin • J. Kinder • A. Sabelfeld
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
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
[1]
M. Dannehl • S. Valenzuela • J. Kinder
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
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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