Sumanth Prabhu S

On Robustness of Linear Classifiers to Targeted Data Poisoning

Data poisoning is a training-time attack that undermines the trustworthiness of learned models. In a targeted data poisoning attack, an adversary manipulates the training dataset to alter the classification of a targeted test point. Given the typically large size of training dataset, manual detectio