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Himani Trivedi

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#machine learning Preprint Sep 2026

Towards Robust Classroom Attendance: A Comprehensive Evaluation of Face Detection and Recognition Models

A new face detection and recognition dataset, the Visage Face dataset, comprising 16,234 face samples, is proposed, showing that the Visage Face Dataset is a realistic and challenging benchmark for face recognition in classroom attendance.

Himani Trivedi, Hiren B. Patel, Ridham Patel et al. · 0 citations
Open access Aug 2026

Self-revealing poisons: loss-guided forensic detection and quantum unlearning of corrupted training data

Among five evaluated methods used in the quantum unlearning phase of the framework, GA, SCRUB, and Continued Fine-Tuning recover accuracy to within 10% of the clean baseline for poison ratios up to ε⩽0.5, with CF achieving this at roughly half the computational cost of the gradient-based alternatives.

Oum Gadani, Kandarp Gajjar, Himani Trivedi et al. · 0 citations

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