I am a PhD student at EPFL.

Here are some pointers to my work:

• Mirzaei H., Mathis M. W. Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings.
  The Thirteenth International Conference on Learning Representations (ICLR) 2025.

• Mirzaei H., Nafez M., Habibi J., Sabokrou M., Rohban M.
  Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation.
  The Thirteenth International Conference on Learning Representations (ICLR) 2025

• Mirzaei H., Nafez M., Jafari M., Soltani M., Habibi J., Sabokrou M., Rohban M.
  Universal Novelty Detection through Adaptive Contrastive Learning.
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

• Mirzaei H., Jafari M., Dehbashi H., Sabokrou M., Rohban M.
  Killing it with Zero-Shot: Adversarially Robust Novelty Detection.
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024

• Mirzaei H., Jafari M., Dehbashi H., Ansari A., Ghobadi S., Soltani Moakhar A., Soleymani Baghshah M., Rohban M.
  RODEO: Robust Out-of-Distribution Detection Via Exposing Adaptive Outliers.
  The Forty-First International Conference on Machine Learning (ICML) 2024

• Mirzaei H., Ansari A., Dibaei Nia B., Nafez M., Madadi M., Rezaee S., Taghavi ZS., Sabokrou M., Rohban M.
  Scanning Trojaned Models Using Out-of-Distribution Samples.
  The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeuRIPS) 2024

• Mirzaei H., Salehi M., Shahabi S., Gavves E., Snoek C., Sabokrou M., Rohban M.
  Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection.
  The Eleventh International Conference on Learning Representations (ICLR) 2023

• Soltani Moakhar A., Azizmalayeri M., Mirzaei H., Manzuri M.T., Rohban M.
  Seeking Next Layer Neurons’ Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework.
  arXiv 2023

• Salehi M., Mirzaei H., Hendrycks D., Li Y., Rohban M., Sabokrou M.
  Unified Survey on Anomaly Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges.
  Transactions on Machine Learning Research (TMLR) 2022

📩 Get in touch: [email protected] 🐦 Follow me on X: @hsirm96