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Mohamad Fazelnia
Mohamad Fazelnia
PhD Student in Computer Science - University of Hawaii at Manoa
Verified email at hawaii.edu - Homepage
Title
Cited by
Cited by
Year
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems
M Fazelnia, I Khokhlov, M Mirakhorli
RobustML @ International Conference on Learning Representations (ICLR), 2022
62022
A Novel Approach to Identify Security Controls in Source Code
A Okutan, A Shokri, V Koscinski, M Fazelinia, M Mirakhorli
arXiv preprint arXiv:2307.05605, 2023
12023
Usable Security and Privacy for Security and Privacy Workers
IEEE Security & Privacy 21 (1), 8-10, 2022
1*2022
Supporting AI/ML Security Workers through an Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) Framework
M Fazelnia, A Okutan, M Mirakhorli
IEEE Security & Privacy, 2023, 2023
2023
Supporting Artificial Intelligence/Machine Learning Security Workers Through an Adversarial Techniques, Tools, and Common Knowledge Framework
M Fazelnia, A Okutan, M Mirakhorli
IEEE Security & Privacy 21 (1), 37-48, 2022
2022
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Articles 1–5