| 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 | 6 | 2022 |
| 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 | 1 | 2023 |
| Usable Security and Privacy for Security and Privacy Workers IEEE Security & Privacy 21 (1), 8-10, 2022 | 1* | 2022 |
| Lessons from the Use of Natural Language Inference (NLI) in Requirements Engineering Tasks M Fazelnia, V Koscinski, S Herzog, M Mirakhorli arXiv preprint arXiv:2405.05135, 2024 | | 2024 |
| 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 |
Mehdi MirakhorliAssociate Professor, University of Hawaii at Manoa.Email verificata su hawaii.edu
