ℓ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training

von Dolatabadi, Hadi M.
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 11 (2022)

ADVFLOW: INCONSPICUOUS BLACK-BOX ADVERSARIAL ATTACKS USING NORMALIZING FLOWS

von Dolatabadi, Hadi Mohaghegh
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences

von Taymouri, Farbod
Veröffentlicht in SIAM International Conference on Data Mining (2021 : Online) SIAM International Conference on Data Mining (SDM21) (2021)

Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity

von Cullen, Andrew
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 25 of 50 (2023)

A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection

von Wang, Qizhou
Veröffentlicht in SIAM International Conference on Data Mining (2021 : Online) SIAM International Conference on Data Mining (SDM21) (2021)

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

von Huang, Hanxun
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

NORMALIZED LOSS FUNCTIONS FOR DEEP LEARNING WITH NOISY LABELS

von Ma, Xingjun
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 9 of 15 (2021)

Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction

von Taymouri, Farbod
Veröffentlicht in BPM (Veranstaltung : 18. : 2020 : Online) Business process management (2020)

α-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

von HE, JIABO
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 24 of 36 (2022)

Data science and machine learning : 21st Australasian conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023 : proceedings

Veröffentlicht 2024