Data Poisoning Methods
Practical methodology for poisoning training datasets at scale, including crowdsource manipulation, web-scale dataset attacks, label flipping, feature collision, bilevel optimization for poison selection, and detection evasion techniques.
data-poisoningtrainingclean-labelfeature-collisionbilevel-optimizationdetection-evasion