Explainability and Adversarial Robustness for RNNs

20 December 2019

Papers citing "Explainability and Adversarial Robustness for RNNs"

7 / 7 papers shown

Title
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 28 90 0 14 Sep 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Jesse Ables William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 56 71 0 13 Jul 2022
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey Thomas Rojat Raphael Puget David Filliat Javier Del Ser R. Gelin Natalia Díaz Rodríguez XAI AI4TS 44 128 0 02 Apr 2021
A flow-based IDS using Machine Learning in eBPF Maximilian Bachl J. Fabini Tanja Zseby 22 22 0 19 Feb 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 27 142 0 14 Dec 2020
SparseIDS: Learning Packet Sampling with Reinforcement Learning Maximilian Bachl Fares Meghdouri J. Fabini Tanja Zseby 18 6 0 10 Feb 2020