
Stephan Rabanser
PhD student
Email
Papers
- Selective Classification Via Neural Network Training Dynamics
Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Israfil Bahceci, Akram Bin Sediq, Hamza Sokun, Nicolas Papernot
@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} }
- 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} }
- 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@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} }
- 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@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} }
- 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
@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} }
- 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
@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} }