Archive

Research.

Here you can find my published work and original research articles hosted on this website.

Publications

15 entries
  1. Furkan Mumcu and Yasin Yilmaz. “Submission responsibility matters: role-aware submission quotas under coauthorship.” arXiv preprint arXiv:2606.30285. 2026. Read ↗

  2. Furkan Mumcu, Michael J. Jones, Anoop Cherian, and Yasin Yilmaz. “Is video anomaly detection misframed? Evidence from LLM-based and multi-scene models.” arXiv preprint arXiv:2605.12725. 2026. Read ↗

  3. Furkan Mumcu and Yasin Yilmaz. “Detecting adversarial data via provable adversarial noise amplification.” arXiv preprint arXiv:2605.02109. 2026. Read ↗

  4. Yasin Yilmaz and Furkan Mumcu. “System and method for detecting adversarial examples.” US Patent Application 19/361,352, Apr. 23, 2026. Google Patents, 2026. Read

  5. Furkan Mumcu and Yasin Yilmaz. “Robustness of agentic AI systems via adversarially-aligned Jacobian regularization.” arXiv preprint arXiv:2603.04378. 2026. Read ↗

  6. Furkan Mumcu, Michael J. Jones, Anoop Cherian, and Yasin Yilmaz. “Leveraging multimodal LLM descriptions of activity for explainable semi-supervised video anomaly detection.” Transactions on Machine Learning Research. 2026. Read ↗

  7. Furkan Mumcu and Yasin Yilmaz. “Socially-weighted alignment: a game-theoretic framework for multi-agent LLM systems.” arXiv preprint arXiv:2602.14471. 2026. Read ↗

  8. Furkan Mumcu, Lokman Bekit, Michael J. Jones, Anoop Cherian, and Yasin Yilmaz. “Agentic AI-empowered dynamic survey framework.” arXiv preprint arXiv:2602.04071. 2026. Read ↗

  9. Furkan Mumcu, Michael J. Jones, Anoop Cherian, and Yasin Yilmaz. “LLM-guided agentic object detection for open-world understanding.” arXiv preprint arXiv:2507.10844. 2025. Read ↗

  10. Furkan Mumcu and Yasin Yilmaz. “Universal and efficient detection of adversarial data through nonuniform impact on network layers.” Transactions on Machine Learning Research. 2025. Read

  11. Furkan Mumcu, Michael Jones, Yasin Yilmaz, and Anoop Cherian. “ComplexVAD: Detecting interaction anomalies in video.” Proceedings of the Winter Conference on Applications of Computer Vision, pp. 1093–1102. 2025. Read

  12. Furkan Mumcu and Yasin Yilmaz. “Multimodal attack detection for action recognition models.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2967–2976. 2024. Read

  13. Furkan Mumcu and Yasin Yilmaz. “Fast and lightweight vision-language model for adversarial traffic sign detection.” Electronics, vol. 13, no. 11, p. 2172. MDPI, 2024. Read

  14. Furkan Mumcu and Yasin Yilmaz. “Sequential architecture-agnostic black-box attack design and analysis.” Pattern Recognition, vol. 147, p. 110066. Pergamon, 2024. Read

  15. Furkan Mumcu, Keval Doshi, and Yasin Yilmaz. “Adversarial machine learning attacks against video anomaly detection systems.” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 205–212. IEEE, 2022. Read