Zero-shot learning approach to adaptive Cybersecurity using Explainable AI

21 June 2021

Papers citing "Zero-shot learning approach to adaptive Cybersecurity using Explainable AI"

6 / 6 papers shown

Title
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 498 41,106 0 28 May 2020
An Adversarial Approach for Explainable AI in Intrusion Detection Systems Daniel L. Marino Chathurika S. Wickramasinghe Milos Manic AAML 20 108 0 28 Nov 2018
Boolean Decision Rules via Column Generation S. Dash Oktay Gunluk Dennis L. Wei 45 174 0 24 May 2018
Siamese Neural Networks for One-shot detection of Railway Track Switches Dattaraj J. Rao S. Mittal S. Ritika 13 26 0 21 Dec 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 346 37,815 0 09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 582 16,828 0 16 Feb 2016