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Oum Gadani

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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. · Physica Scripta · 0 citations