Stephan Rabanser

According to our database, Stephan Rabanser authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

CoRR, 2023

Training Private Models That Know What They Don't Know.

Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust and Actively Secure Serverless Collaborative Learning.

Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations.

Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A. Erdogdu, Nicolas Papernot

CoRR, 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

CoRR, 2022

Selective Classification Via Neural Network Training Dynamics.

Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Nicolas Papernot

CoRR, 2022

2020

The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models.

Stephan Rabanser, Tim Januschowski, Valentin Flunkert, David Salinas, Jan Gasthaus

CoRR, 2020

2019

Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift.

Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Introduction to Tensor Decompositions and their Applications in Machine Learning.

Stephan Rabanser, Oleksandr Shchur, Stephan Günnemann

CoRR, 2017