BriefGPT.xyz
Dec, 2023
数据炼金术:通过扩散模型净化中毒数据集以缓解后门攻击
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models
HTML
PDF
Jiachen Zhou, Peizhuo Lv, Yibing Lan, Guozhu Meng, Kai Chen...
TL;DR
利用扩散模型深度清洗数据集,将中毒样本转化为良性样本,DataElixir在抵御各种复杂攻击中,效果显著且对良性准确性影响最小。
Abstract
dataset sanitization
is a widely adopted proactive defense against
poisoning-based backdoor attacks
, aimed at filtering out and removing poisoned samples from training datasets. However, existing methods have sho
→