Stephan Rabanser

PhD student

Email

Papers

1. Suitability Filter: A Statistical Framework for Model Evaluation in Real-World Deployment Settings
   Angéline Pouget, Mohammad Yaghini, Stephan Rabanser, Nicolas Papernot
   In Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada

   BibTeX

   @inproceedings{angéline2025suitabilityspotlight,
     author = {Pouget, Angéline and Yaghini, Mohammad and Rabanser, Stephan and Papernot, Nicolas},
     booktitle = {Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada},
     title = {Suitability Filter: A Statistical Framework for Model Evaluation in Real-World Deployment Settings},
     year = {2025}
   }
   

2. Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
   Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese, Xiao Wang, Adrian Weller, Nicolas Papernot
   In Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada

   BibTeX

   @inproceedings{stephan2025confidentialconference,
     author = {Rabanser, Stephan and Shamsabadi, Ali Shahin and Franzese, Olive and Wang, Xiao and Weller, Adrian and Papernot, Nicolas},
     booktitle = {Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada},
     title = {Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention},
     year = {2025}
   }
   

3. Selective Classification Via Neural Network Training Dynamics
   Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Israfil Bahceci, Akram Bin Sediq, Hamza Sokun, Nicolas Papernot
   

   Paper BibTeX

   @article{stephan2025selectivejournal,
     author = {Rabanser, Stephan and Thudi, Anvith and Hamidieh, Kimia and Dziedzic, Adam and Bahceci, Israfil and Sediq, Akram Bin and Sokun, Hamza and Papernot, Nicolas},
     title = {Selective Classification Via Neural Network Training Dynamics},
     year = {2025}
   }
   

4. What Does It Take to Build a Performant Selective Classifier?
   Stephan Rabanser, Andy Wei Liu, Nicolas Papernot
   

   BibTeX

   @article{stephan2024whatpreprint,
     author = {Rabanser, Stephan and Liu, Andy Wei and Papernot, Nicolas},
     title = {What Does It Take to Build a Performant Selective Classifier?},
     year = {2024}
   }
   

5. Robust and Actively Secure Serverless Collaborative Learning
   Olive Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
   In Proceedings of the 37th Conference on Neural Information Processing Systems

   Paper BibTeX

   @inproceedings{olive2023robustconference,
     author = {Franzese, Olive and Dziedzic, Adam and Choquette-Choo, Christopher A. and Thomas, Mark R. and Kaleem, Muhammad Ahmad and Rabanser, Stephan and Fang, Congyu and Jha, Somesh and Papernot, Nicolas and Wang, Xiao},
     booktitle = {Proceedings of the 37th Conference on Neural Information Processing Systems},
     title = {Robust and Actively Secure Serverless Collaborative Learning},
     year = {2023}
   }
   

6. Training Private Models That Know What They Don’t Know
   Stephan Rabanser, Anvith Thudi, Abhradeep Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot
   In Proceedings of the 37th Conference on Neural Information Processing Systems

   Paper BibTeX

   @inproceedings{stephan2023trainingconference,
     author = {Rabanser, Stephan and Thudi, Anvith and Thakurta, Abhradeep and Dvijotham, Krishnamurthy and Papernot, Nicolas},
     booktitle = {Proceedings of the 37th Conference on Neural Information Processing Systems},
     title = {Training Private Models That Know What They Don’t Know},
     year = {2023}
   }
   

7. p-DkNN: Out-of-Distribution Detection through Statistical Testing of Deep Representation
   Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A Erdogdu, Nicolas Papernot
   

   Paper BibTeX

   @article{adam2022pdknnreport,
     author = {Dziedzic, Adam and Rabanser, Stephan and Yaghini, Mohammad and Ale, Armin and Erdogdu, Murat A and Papernot, Nicolas},
     title = {p-DkNN: Out-of-Distribution Detection through Statistical Testing of Deep Representation},
     year = {2022}
   }
   

8. Intrinsic Anomaly Detection for Multi-Variate Time Series
   Stephan Rabanser, Tim Januschowski, Kashif Rasul, Oliver Borchert, Richard Kurle, Jan Gasthaus, Michael Bohlke-Schneider, Nicolas Papernot, Valentin Flunkert
   

   Paper BibTeX

   @article{stephan2022intrinsicreport,
     author = {Rabanser, Stephan and Januschowski, Tim and Rasul, Kashif and Borchert, Oliver and Kurle, Richard and Gasthaus, Jan and Bohlke-Schneider, Michael and Papernot, Nicolas and Flunkert, Valentin},
     title = {Intrinsic Anomaly Detection for Multi-Variate Time Series},
     year = {2022}
   }