Security & Trust

Majid Mollaeefar

Majid Mollaeefar Researcher

Majid Mollaeefar is a researcher at the Center for Cybersecurity.

He holds a Ph.D. from the University of Genova, Italy. His expertise spans risk management, data protection, and an in-depth understanding of compliance regulations.

Currently, he works on a European project called JuLIA with aim of raising the awareness of Judges in using AI applications in their judicial use cases.

His research interests include Security and Privacy Risk Assessment, Threat Modelling, Security and Privacy Requirements, Privacy Preserving, Privacy Impact Assessment, and GDPR Compliance.

Publications

2024

  • Majid Mollaeefar, Eleonora Marchesini, Roberto Carbone, Silvio Ranise
    A Risk-based Approach to Trustworthy AI Systems for Judicial Procedures
    In: 4th CINI National Conference on Artificial Intelligence (Ital-IA 2024) (URL, news)
  • Riccardo Longo, Majid Mollaeefar, Umberto Morelli, Chiara Spadafora, Alessandro Tomasi, Silvio Ranise
    Modeling and Assessing Coercion Threats in Electronic Voting
    In: 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024) (DOI, news)
    Awards: Best Paper Award at CRiSIS 2024
  • Amir Sharif, Zahra Ebadi Ansaroudi, Giada Sciarretta, Daniela Pöhn, Majid Mollaeefar, Wolfgang Hommel, Silvio Ranise
    Protecting Digital Identity Wallet: A Threat Model in the Age of eIDAS 2.0
    In: 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024) (DOI, news)

2023

  • Majid Mollaeefar, Silvio Ranise
    Identifying and Quantifying Trade-offs in Multi-Stakeholder Risk Evaluation with Applications to the Data Protection Impact Assessment of the GDPR
    In: Computers & Security Journal (COSE) (DOI, news)

2020

  • Majid Mollaeefar, Alberto Siena, Silvio Ranise
    Multi-Stakeholder Cybersecurity Risk Assessment for Data Protection
    In: 17th International Conference on Security and Cryptography (SECRYPT 2020) (DOI)

Theses

  • Majid Mollaeefar (PhD Thesis, University of Genoa, 2022)
    Automating the Quantification and Mitigation of Risks for Multiple Stakeholders (link)
    Supervisor: Silvio Ranise

Projects

Current

Supervised Theses

2024

  • Stefano Camposilvan (Bachelor's Thesis, University of Trento, 2024)
    Estimating the Likelihood of Successful Adversarial Examples Transferability
    Supervisor: Silvio Ranise | Co-supervisor: Majid Mollaeefar
  • Mattia Bressan (Bachelor's Thesis, University of Trento, 2024)
    Towards Risk Assessment of Adversarial Machine Learning
    Supervisor: Silvio Ranise | Co-supervisor: Majid Mollaeefar