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
アクティブラーニング
Active learning for fast and slow modeling attacks on Arbiter PUFs
Authors: Vincent Dumoulin, Wenjing Rao, Natasha Devroye | Published: 2023-08-25
RareGAN: Generating Samples for Rare Classes
Authors: Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar | Published: 2022-03-20
Generating Practical Adversarial Network Traffic Flows Using NIDSGAN
Authors: Bolor-Erdene Zolbayar, Ryan Sheatsley, Patrick McDaniel, Michael J. Weisman, Sencun Zhu, Shitong Zhu, Srikanth Krishnamurthy | Published: 2022-03-13
Living-Off-The-Land Command Detection Using Active Learning
Authors: Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt | Published: 2021-11-30
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
Authors: Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker, Jon Smith, Olivier Thuong, Lucas Bernardi | Published: 2021-07-05
A Review of Confidentiality Threats Against Embedded Neural Network Models
Authors: Raphaël Joud, Pierre-Alain Moellic, Rémi Bernhard, Jean-Baptiste Rigaud | Published: 2021-05-04
CaPC Learning: Confidential and Private Collaborative Learning
Authors: Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang | Published: 2021-02-09 | Updated: 2021-03-19
Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification
Authors: Wenjun Qiu, David Lie | Published: 2020-08-07
Active Learning for Network Intrusion Detection
Authors: Amir Ziai | Published: 2019-04-02