Kevin Stangl

According to our database, Kevin Stangl authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System.

Julian Collado, Kevin Stangl

CoRR, 2024

Fairness, Accuracy, and Unreliable Data.

Kevin Stangl

CoRR, 2024

Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation.

Kevin Stangl, Marius Arvinte, Weilin Xu, Cory Cornelius

CoRR, 2024

Bayesian Strategic Classification.

Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani

CoRR, 2024

On the Vulnerability of Fairness Constrained Learning to Malicious Noise.

Avrim Blum, Princewill Okoroafor, Aadirupa Saha, Kevin M. Stangl

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Agnostic Multi-Robust Learning using ERM.

Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin M. Stangl

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Certifiable (Multi)Robustness Against Patch Attacks Using ERM.

Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin Stangl

CoRR, 2023

Sequential Strategic Screening.

Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani

Proceedings of the International Conference on Machine Learning, 2023

2022

Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline.

Avrim Blum, Kevin Stangl, Ali Vakilian

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2020

Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?

Avrim Blum, Kevin Stangl

Proceedings of the 1st Symposium on Foundations of Responsible Computing, 2020

2016

A Practical Study of Longitudinal Reference Based Compressed Sensing for MRI.

Samuel Birns, Bohyun Kim, Stephanie Ku, Kevin Stangl, Deanna Needell

CoRR, 2016