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   Black-Box Adversarial Example Attacks on ML Election Systems

   Research · since 3 Nov 2026

   Researchers demonstrate black-box adversarial example attacks against machine learning-based ballot classification models used in election systems. The work proves that classifiers can be manipulated to alter election outcomes without requiring white-box access to model parameters.

   AI

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