Christofer Fellicious

According to our database, Christofer Fellicious authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Bridging the Semantic Gap in Virtual Machine Introspection and Forensic Memory Analysis.

Christofer Fellicious, Hans P. Reiser, Michael Granitzer

CoRR, March, 2025

Malware Detection based on API calls.

Christofer Fellicious, Manuel Bischof, Kevin Mayer, Dorian Eikenberg, Stefan Hausotte, Hans P. Reiser, Michael Granitzer

CoRR, February, 2025

MemBERT: Foundation model for memory forensics.

Christofer Fellicious, Mehdi Ben Amor, Johannes Garstenauer, Jelena Mitrovic, Hans P. Reiser, Michael Granitzer

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

2024

API traces for malware detection.

Christofer Fellicious, Michael Granitzer, Hans P. Reiser, G. DATA CyberDefense AG

Dataset, April, 2024

PyPads.

Thomas Weißgerber, Mehdi Ben Amor, Christofer Fellicious, Michael Granitzer

Datenbank-Spektrum, March, 2024

On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education.

Lorenz Wendlinger, Christian Braun, Abdullah Al Zubaer, Simon Alexander Nonn, Sarah Großkopf, Christofer Fellicious, Michael Granitzer

CoRR, 2024

DriftGAN: Using historical data for Unsupervised Recurring Drift Detection.

Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

PointerKex: A Pointer-Based SSH Key Extraction Method.

Christofer Fellicious, Stewart Sentanoe, Jelena Mitrovic, Hans P. Reiser, Michael Granitzer

Proceedings of the Machine Learning, Optimization, and Data Science, 2024

SUDS: A Strategy for Unsupervised Drift Sampling.

Christofer Fellicious, Lorenz Wendlinger, Mario Lopez Gancarski, Jelena Mitrovic, Michael Granitzer

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

2022

SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap Dump.

Christofer Fellicious, Stewart Sentanoe, Michael Granitzer, Hans P. Reiser

CoRR, 2022

"The Need for Speed": Extracting Session Keys From the Main Memory Using Brute-force and Machine Learning.

Stewart Sentanoe, Christofer Fellicious, Hans P. Reiser, Michael Granitzer

Proceedings of the IEEE International Conference on Trust, 2022

Pooling Graph Convolutional Networks for Structural Performance Prediction.

Lorenz Wendlinger, Michael Granitzer, Christofer Fellicious

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Neural Network Based Drift Detection.

Christofer Fellicious, Lorenz Wendlinger, Michael Granitzer

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2020

Effects of Random Seeds on the Accuracy of Convolutional Neural Networks.

Christofer Fellicious, Thomas Weißgerber, Michael Granitzer

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2018

Transfer Learning and Organic Computing for Autonomous Vehicles.

Christofer Fellicious

CoRR, 2018