SoK: Explainable Machine Learning for Computer Security Applications

Author:

Nadeem Azqa1,Vos Daniël1,Cao Clinton1,Pajola Luca1,Dieck Simon1,Baumgartner Robert1,Verwer Sicco1

Affiliation:

1. Delft University of Technology,Delft,The Netherlands

Publisher

IEEE

Reference141 articles.

1. Explainable AI methods in cyber risk management;giudici;Quality and Reliability Engineering International,2021

2. Interpretation of Neural Networks Is Fragile

3. XAI-based Microarchitectural Side-Channel Analysis for Website Fingerprinting Attacks and Defenses;gulmezoglu;IEEE Transactions on Dependable and Secure Computing,2021

4. European Union Regulations on Algorithmic Decision-Making and a “Right to Explanation”

5. An empirical comparison of botnet detection methods

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4. Position: The Explainability Paradox - Challenges for XAI in Malware Detection and Analysis;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

5. Bad Design Smells in Benchmark NIDS Datasets;2024 IEEE 9th European Symposium on Security and Privacy (EuroS&P);2024-07-08

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