Kandarp Gajjar

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.