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.
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

  1. CANS ’24
    SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection
    Erdogan, Ege, Teksen, Unat, Celiktenyildiz, Mehmet Salih, Kupcu, Alptekin, and Cicek, A. Ercument
    International Conference on Cryptology And Network Security (CANS ’24) 2024
  2. GLFrontiers ’23
    Poisoning × Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks
    Erdogan, Ege, Geisler, Simon, and Günnemann, Stephan
    NeurIPS 2023 Workshop: New Frontiers in Graph Learning 2023
  3. (SRW) RANLP ’23
    Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text
    Dhaini, Mahdi, Poelman, Wessel, and Erdogan, Ege
    In Proceedings of the 8th Student Research Workshop associated with the International Conference Recent Advances in Natural Language Processing 2023
  4. WPES ’22
    SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning
    Erdogan, Ege, Kupcu, Alptekin, and Cicek, A Ercument
    The 21st Workshop on Privacy in the Electronic Society 2022
  5. WPES ’22
    UnSplit: Data-oblivious model inversion, model stealing, and label inference attacks against split learning
    Erdogan, Ege, Kupcu, Alptekin, and Cicek, A Ercument
    The 21st Workshop on Privacy in the Electronic Society 2022
  6. SRDS ’21
    (Demo) Zelig: Customizable Blockchain Simulator
    Erdogan, Ege, Aydin, Can Arda, Ozkasap, Oznur, and Gill, Waris
    40th International Symposium on Reliable Distributed Systems 2021