Kevin Stangl

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 11

Top Topics

Bayesian Classification

Malicious Noise

Top Venues

Publications

Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Bayesian Strategic Classification. CoRR (2024)
Kevin Stangl, Marius Arvinte, Weilin Xu, Cory Cornelius
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation. CoRR (2024)
Avrim Blum, Princewill Okoroafor, Aadirupa Saha, Kevin Stangl
On the Vulnerability of Fairness Constrained Learning to Malicious Noise. CoRR (2023)
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Sequential Strategic Screening. CoRR (2023)
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Sequential Strategic Screening. ICML (2023)
Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin Stangl
Certifiable (Multi)Robustness Against Patch Attacks Using ERM. CoRR (2023)
Avrim Blum, Kevin Stangl, Ali Vakilian
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline. FAccT (2022)
Avrim Blum, Kevin Stangl, Ali Vakilian
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline. CoRR (2022)
Avrim Blum, Kevin Stangl
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? FORC (2020)
Avrim Blum, Kevin Stangl
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? CoRR (2019)
Samuel Birns, Bohyun Kim, Stephanie Ku, Kevin Stangl, Deanna Needell
A Practical Study of Longitudinal Reference Based Compressed Sensing for MRI. CoRR (2016)