Ege Erdogan
MSc Informatics at the Technical University of Munich
Hey! I am Ege, an informatics MSc student at TUM currently writing my thesis with David Rügamer and Bastian Rieck. I am broadly interested in geometric DL, deep generative models, and safety/interpretability of ML systems.
I was previously an undergrad (CS & Math) at Koç University in Istanbul, Turkey, where I worked on projects related to data/model confidentiality in collaborative ML as an intern at the Cryptography, Security, and Privacy Research Group.
Feel free to contact me at ege
at erdogan.dev
.
news
Jun 2024 | 📕 Starting my masters thesis on efficient sampling of NN weights using generative models and geometric DL, with David Rügamer and Bastian Rieck. |
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Jun 2024 | 🎉 Paper accepted at CANS ‘24. SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection |
Oct 2023 | 🧪 Starting TUM-DI-LAB, working on geometric generative models for molecules. |
Oct 2023 | 🎉 Paper accepted at the GLFrontiers Workshop within NeurIPS ‘23. Poisoning × Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks |
Aug 2023 | 🎉 Paper accepted at the student research workshop within RANLP ‘23. Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text |
selected publications
- CANS ’24SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier DetectionInternational Conference on Cryptology And Network Security (CANS ’24) 2024
- GLFrontiers ’23Poisoning × Evasion: Symbiotic Adversarial Robustness for Graph Neural NetworksNeurIPS 2023 Workshop: New Frontiers in Graph Learning 2023
- (SRW) RANLP ’23Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated TextIn Proceedings of the 8th Student Research Workshop associated with the International Conference Recent Advances in Natural Language Processing 2023