Ege Erdogan

inc. PhD Student at the University of Amsterdam

Hi! I am an incoming PhD student at the University of Amsterdam at the SIAS group advised by Ana Lucic, working on mechanistic interpretability. I am also interested in applications of ML in science, and deep generative models.

I previously did my MSc at the Technical University of Munich and wrote my thesis on geometric flow models over neural network weights, advised by David Rügamer and Bastian Rieck.

Feel free to contact me at ege at erdogan.dev.

news

Mar 2025	🎉 Paper accepted at the MLMP Workshop within ICLR ‘25! FreeFlow: Latent Flow Matching for Free Energy Difference Estimation
Feb 2025	👨‍⚕️ Will be starting my PhD at UvA in May!
Jan 2025	🎓 Completed my MSc at TUM! Read my thesis here
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

selected publications

MLMP ’25

FreeFlow: Latent Flow Matching for Free Energy Difference Estimation

Erdogan, Ege, Ralev, Radoslav, Rebensburg, Mika, Marquet, Céline, Klein, Leon, and Stark, Hannes

Workshop on Machine Learning Multiscale Processes (at ICLR ’25) 2025

Website
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 2024

Website
GLFrontiers ’23

Poisoning × Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks

Erdogan, Ege, Geisler, Simon, and Günnemann, Stephan

New Frontiers in Graph Learning Workshop (at NeurIPS ’23) 2023

Website
(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

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 (at ACM CCS ’22) 2022

Bib Website

@article{erdogan2021splitguard,
  title = {SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning},
  author = {Erdogan, Ege and Kupcu, Alptekin and Cicek, A Ercument},
  journal = {The 21st Workshop on Privacy in the Electronic Society (at ACM CCS '22)},
  year = {2022},
}

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 (at ACM CCS ’22) 2022

Bib Website

@article{erdogan2021unsplit,
  title = {UnSplit: Data-oblivious model inversion, model stealing, and label inference attacks against split learning},
  author = {Erdogan, Ege and Kupcu, Alptekin and Cicek, A Ercument},
  journal = {The 21st Workshop on Privacy in the Electronic Society (at ACM CCS '22)},
  year = {2022},
}

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

arXiv Bib

@article{erdogan2021zelig,
  title = {(Demo) Zelig: Customizable Blockchain Simulator},
  author = {Erdogan, Ege and Aydin, Can Arda and Ozkasap, Oznur and Gill, Waris},
  journal = {40th International Symposium on Reliable Distributed Systems},
  year = {2021},
}