Scalable Optimal Classifiers for Adversarial Settings Under Uncertainty

von Roussillon, Benjamin
Veröffentlicht in GameSec (12. : 2021 : Online) Decision and Game Theory for Security (2021)

NONZERO-SUM ADVERSARIAL HYPOTHESIS TESTING GAMES

von Yasodharan, Sarath
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Bounding and Approximating Intersectional Fairness through Marginal Fairness

von Molina, Mathieu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 22 of 50 (2023)

Efficient approximation algorithms for scheduling moldable tasks

von Wu, Xiaohu
Veröffentlicht in European journal of operational research (2023)

MEASURING THE FACEBOOK ADVERTISING ECOSYSTEM

von Andreou, Athanasios
Veröffentlicht in Network and Distributed System Security Symposium (26. : 2019 : San Diego, Calif.) Network and Distributed System Security Symposium 2019 ; Volume 1 of 2 (2020)

INVESTIGATING AD TRANSPARENCY MECHANISMS IN SOCIAL MEDIA: A CASE STUDY OF FACEBOOKS EXPLANATIONS

von Andreou, Athanasios
Veröffentlicht in Network and Distributed System Security Symposium (25. : 2018 : San Diego, Calif.) Network and Distributed System Security Symposium 2018 ; Volume 2 of 2 (2020)