Popular GitHub Repositories for Poisoning

Prediction of naloxone dose in opioids toxicity based on machine learning techniques

M. Anisetti, C. A. Ardagna, A. Balestrucci, N. Bena, E. Damiani, C. Y. Yeun. "On the Robustness of Random Forest Against Data Poisoning: An Ensemble-Based Approach". In IEEE TSUSC, vol. 8 no. 4

Simulation of FL in python for Digit Recognition ML model. Simulated poisoning attacks and studies their impact.

This is a project by Lane Affield, Emma Gerdeman, and Munachi Okuagu to showcase what we have learned through Drake University's Artificial Intelligence Program

This study explores the vulnerability of the Federated Learning (FL) model where a portion of clients participating in the FL process is under the control of adversaries who don’t have access to the training data but can access the training model and its parameters.