Stefan Kolek Martinez de Azagra

According to our database, Stefan Kolek Martinez de Azagra authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.

Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning Interpretable Queries for Explainable Image Classification with Information Pursuit.

Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal

CoRR, 2023

Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning.

Georgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert

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

Explaining Image Classifiers with Multiscale Directional Image Representation.

Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

How Do Input Attributes Impact the Privacy Loss in Differential Privacy?

Tamara T. Mueller, Stefan Kolek, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Daniel Rueckert, Georgios Kaissis

CoRR, 2022

Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens.

Georgios Kaissis, Alexander Ziller, Stefan Kolek Martinez de Azagra, Daniel Rueckert

CoRR, 2022

Cartoon Explanations of Image Classifiers.

Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

A Rate-Distortion Framework for Explaining Black-Box Model Decisions.

Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

Proceedings of the xxAI - Beyond Explainable AI, 2020