Explainable digital forensics AI: Towards mitigating distrust in AI-based digital forensics analysis using interpretable models

Author:

Solanke Abiodun A.

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications,Information Systems,Pathology and Forensic Medicine

Reference140 articles.

1. Enabling trust in deep learning models: a digital forensics case study;Aditya,2017

2. Understanding of a convolutional neural network;Albawi,2017

3. Evaluating saliency map explanations for convolutional neural networks: a user study, in: in Proc. of the 25th Intl;Alqaraawi;Conf. on Intelligent User Interfaces,2020

4. Explanation of black-box model predictions by contextual importance and utility;Anjomshoae;Int. Workshop Explain. Transparent Autonomous Agents Multi-Agent Syst.,2019

5. Explainable artificial intelligence (xai): concepts, taxonomies, opportunities and challenges towards responsible ai;Arrieta;Inf. Fusion,2020

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