Explainable AI (XAI) is becoming increasingly important, especially in fields like fraud detection. Differentiable Inductive Logic Programming (DILP) is an XAI method that can be used for this purpose. While DILP has scalability issues, data curation can make it more applicable. While it might not outperform traditional methods in terms of processing speed, it can provide comparable results. DILP's potential lies in its ability to learn recursive rules, which can be beneficial in certain use cases.
top of page
Rechercher
Posts récents
Voir toutThe main vulnerability in data protection is ineffective risk management, often subjective and superficial. GDPR outlines what to achieve...
00
This paper introduces a dynamic, proactive cyber risk assessment methodology that combines internal and external data, converting...
10
Cybersecurity investment models often mislead practitioners due to unreliable data, unverified assumptions, and false premises. These...
00
bottom of page
Comments