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Stephan Rabanser

PhD student

Email

Papers

  1. 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

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

    @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}
    }
    
  3. 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

    @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}
    }
    
  4. 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

    @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}
    }
    
  5. 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

    @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}
    }
    
  6. 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

    @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}
    }