Haneen Najjar

Haneen Najjar

Researcher & trustworthy ML engineer focusing on adversarial robustness and fairness, AI safety and security

Talks and presentations

August 16, 2026

Talk, Tel Aviv University (PLUS Group), The Hebrew University of Jerusalem (The 2nd Israeli Privacy and Fairness Workshop), ETH Zurich (Machine Learning and Cryptography), Carnegie Mellon University (CyLab), Israel, Switzerland, and USA

I presented Sy-FAR: Symmetry-based Fair Adversarial Robustness at multiple academic venues:

  • Tel Aviv University – PLUS Group
    Research seminar on fairness-aware adversarial training, symmetry constraints, and empirical results on face recognition and image classification.

  • The Hebrew University of Jerusalem – The 2nd Israeli Privacy and Fairness Workshop
    Workshop talk focusing on fairness–robustness trade-offs and subgroup fairness under physically realizable adversarial attacks.

  • ETH Zurich – Machine Learning and Cryptography
    Invited talk discussing symmetry-based fairness, adversarial robustness, and implications for security-critical machine learning systems.

  • Carnegie Mellon University – CyLab
    Research talk on symmetry-based fairness and adversarial robustness, presenting the Sy-FAR framework and its implications for fair and secure machine learning.