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cs.CR2026
Black-Box Adversarial Example Attacks on Machine Learning based Election Systems
Subek Acharya, Syed Ayon, Khaleque Md Aashiq Kamal +3
Machine learning models have shown exceptional accuracy for ballot classification in election systems. Recent research has demonstrated that these ballot classification models are…
cs.LG2026
Analyzing Physical Adversarial Example Threats to Machine Learning in Election Systems
Khaleque Md Aashiq Kamal, Surya Eada, Aayushi Verma +4
Developments in the machine learning voting domain have shown both promising results and risks. Trained models perform well on ballot classification tasks (> 99% accuracy) but are…