DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models

18 December 2023

Papers citing "DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models"

5 / 5 papers shown

Title
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning Abha Jha Ashwath Vaithinathan Aravindan Matthew Salaway Atharva Sandeep Bhide Duygu Nur Yaldiz AAML 86 0 0 21 Apr 2025
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming Yuxiao Chen Shuo Shao Enhao Huang Yiming Li Pin-Yu Chen Zhan Qin Kui Ren AAML 63 4 0 22 Feb 2025
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning Baoyuan Wu Hongrui Chen Ruotong Wang Zihao Zhu Shaokui Wei Danni Yuan Mingli Zhu Ke Xu Li Liu Chaoxiao Shen AAML ELM 83 10 0 26 Jan 2024
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He Wang Jianxin Sun Ming Wang Richang Hong 55 18 0 16 May 2023
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yan Liang Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021