Salient Conditional Diffusion for Defending Against Backdoor Attacks

31 January 2023

Papers citing "Salient Conditional Diffusion for Defending Against Backdoor Attacks"

7 / 7 papers shown

Title
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming Y. Chen Shuo Shao Enhao Huang Yiming Li Pin-Yu Chen Z. Qin Kui Ren AAML 36 3 0 22 Feb 2025
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models Zhuoshi Pan Yuguang Yao Gaowen Liu Bingquan Shen H. V. Zhao Ramana Rao Kompella Sijia Liu DiffM AAML 22 2 0 04 Nov 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He-Nan Wang Jianxin Sun M. Wang Richang Hong 32 18 0 16 May 2023
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks Nils Lukas Florian Kerschbaum 12 1 0 07 May 2023
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 195 415 0 16 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 213 1,353 0 24 Jan 2022
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 286 0 02 Dec 2018