From Explainable to Reliable Artificial Intelligence

Author:

Narteni SaraORCID,Ferretti Melissa,Orani VanessaORCID,Vaccari IvanORCID,Cambiaso EnricoORCID,Mongelli MaurizioORCID

Publisher

Springer International Publishing

Reference43 articles.

1. Adebayo, J., et al.: Sanity checks for saliency maps. arXiv preprint arXiv:1810.03292 (2018)

2. Arrieta, A.B., et al.: Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58, 82–115 (2020)

3. Balasubramanian, V.N., Ho, S., Vovk, V.: Conformal Prediction for Reliable Machine Learning, 1st edn. Morgan Kaufmann Elsevier (2014)

4. Lecture Notes in Computer Science;U Becker,2019

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);A Campagner,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bag-of-Words Similarity in eXplainable AI;Lecture Notes in Networks and Systems;2022-09-01

2. On The Detection Of Adversarial Attacks Through Reliable AI;IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2022-05-02

3. Counterfactual Building and Evaluation via eXplainable Support Vector Data Description;IEEE Access;2022

4. eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics;IEEE Access;2022

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