Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks (NeurIPS 2022)
Official code repository for Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks.
Authors: Tian Yu Liu, Yang Yu, and Baharan Mirzasoleiman
For preparation of poisoned datasets, please follow: https://github.com/YuYang0901/EPIC
For training with friendly noise and bernoulli noise.
python main.py --noise_type friendly bernoulli --friendly_begin_epoch 5 --poisons_path $POISON_DATASET --out result