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XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions. (arXiv:2206.03585v1 [cs.CR])
June 9, 2022, 1:20 a.m. | Gautam Srivastava, Rutvij H Jhaveri, Sweta Bhattacharya, Sharnil Pandya, Rajeswari, Praveen Kumar Reddy Maddikunta, Gokul Yenduri, Jon G. Hall, Mamoun
cs.CR updates on arXiv.org arxiv.org
In the past few years, artificial intelligence (AI) techniques have been
implemented in almost all verticals of human life. However, the results
generated from the AI models often lag explainability. AI models often appear
as a blackbox wherein developers are unable to explain or trace back the
reasoning behind a specific decision. Explainable AI (XAI) is a rapid growing
field of research which helps to extract information and also visualize the
results generated with an optimum transparency. The present study …
More from arxiv.org / cs.CR updates on arXiv.org
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