Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
Authors: Jacopo Talpini, Fabio Sartori, Marco Savi | Published: 2023-09-05 | Updated: 2024-04-09
不確実性評価
I still know it’s you! On Challenges in Anonymizing Source Code
Authors: Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck | Published: 2022-08-26 | Updated: 2024-04-10
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Authors: Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han | Published: 2022-06-06 | Updated: 2022-10-22
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Authors: Sina Däubener, Asja Fischer | Published: 2020-08-07 | Updated: 2020-08-17
Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Authors: Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, D Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek | Published: 2019-06-06 | Updated: 2019-12-17
Evidential Deep Learning to Quantify Classification Uncertainty
Authors: Murat Sensoy, Lance Kaplan, Melih Kandemir | Published: 2018-06-05 | Updated: 2018-10-31
Predictive Uncertainty Estimation via Prior Networks
Authors: Andrey Malinin, Mark Gales | Published: 2018-02-28 | Updated: 2018-11-29