4 citations · 4 across the 5 of their papers we have counts for
5 papers
Establishing Minimum Elements for Effective Vulnerability Management in AI Software
Mohamad Fazelnia, Sara Moshtari, Mehdi Mirakhorli
In the rapidly evolving field of artificial intelligence (AI), the identification, documentation, and mitigation of vulnerabilities are paramount to ensuring robust and secure syst…
Lessons from the Use of Natural Language Inference (NLI) in Requirements Engineering Tasks
Mohamad Fazelnia, Viktoria Koscinski, Spencer Herzog +1
We investigate the use of Natural Language Inference (NLI) in automating requirements engineering tasks. In particular, we focus on three tasks: requirements classification, identi…
A Novel Approach to Identify Security Controls in Source Code
Ahmet Okutan, Ali Shokri, Viktoria Koscinski +2
Secure by Design has become the mainstream development approach ensuring that software systems are not vulnerable to cyberattacks. Architectural security controls need to be carefu…
Supporting AI/ML Security Workers through an Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) Framework
Mohamad Fazelnia, Ahmet Okutan, Mehdi Mirakhorli
This paper focuses on supporting AI/ML Security Workers -- professionals involved in the development and deployment of secure AI-enabled software systems. It presents AI/ML Adversa…
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems
Mohamad Fazelnia, Igor Khokhlov, Mehdi Mirakhorli
Software systems are increasingly relying on Artificial Intelligence (AI) and Machine Learning (ML) components. The emerging popularity of AI techniques in various application doma…