DEFUSING DIRTY LABEL BACKDOOR ATTACK WITH DIFFERENTIALLY PRIVATE DATA THROUGH FEATURE VECTORIZED ALEXNET FOR FACE GENDER CLASSIFICATION

Defusing Dirty Label Backdoor Attack With Differentially Private Data Through Feature Vectorized AlexNet for Face Gender Classification

In any commercial applications, gender is an important demographic factor that can be utilized to understand the future of retail and the nature of shopping.Nevertheless, a variety of variances in viewing perspectives, facial emotions, extreme instances, background, resolution variations, and face image appearance make gender classification a const

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