Haneen Najjar

Haneen Najjar

PhD student in Computer Science, working on trustworthy ML, adversarial robustness and fairness, AI safety and security

Talks & presentations

Sharing research on fair and robust machine learning.

Featured research

Sy-FAR: Symmetry-based Fair Adversarial Robustness

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Sy-FAR presentations across four academic venues
DateVenueFormatFocus
Tel Aviv UniversityPLUS Group Israel Research seminar Fairness-aware adversarial training, symmetry constraints, and empirical results.
The Hebrew University of JerusalemThe 2nd Israeli Privacy and Fairness Workshop Israel Workshop talk Fairness–robustness trade-offs under physically realizable attacks.
ETH ZurichMachine Learning and Cryptography Switzerland Invited talk Symmetry-based fairness and robustness in security-critical ML systems.
Carnegie Mellon UniversityCyLab USA Research talk The Sy-FAR framework and its implications for fair and secure machine learning.