近年来,人们提出了许多防御措施,但它们再次受到更高级的自适应攻击的攻击。 最近的一种防御方法(diffusion-based purification,基于扩散的净化)利用扩散模型来净化输入图像并实现最先进的鲁棒性。根据防御使用的扩散模型的类型,基于扩散的净化可以分为基于分数的净化(使用基于分数的扩散模型)和基于DDPM的净化(去噪扩散概率...
As a reaction, adversarial purification has emerged as a compelling solution, particularly with diffusion models showing promising results. However, their purification potential remains unexplored in the context of intrusion detection. This paper demonstrates the effectiveness of diffusion models in purifying...
code/attack_tools.py: some adversarial attack tools code/stat.py: run statistics on success rate, transferability and anti-purification power [to be released] Cited as: @article{xue2023diffusion, title={Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability}, author...
Adversarial purification with Score-based generative models Jongmin Yoon, Sung Ju Hwang, Juho Lee ICML 2021. [Paper] [Github] 11 Jun 2021 Natural Language Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto...
LIDARDETECTORSLiDAR sensors have been shown to generate data with various common corruptions, which seriously affect their applications in 3D vision tasks, particularly object detection. At the same time, it has been demonstrated that traditional defense strategies, including adversarial training, are ...
(VAE)-based models8, generative adversarial network (GAN)9, normalizing flows10,11,12,13and diffusion models14,15. By adopting generative models, current machine learning methods10,11,16,17,18,19start from learning the underlying distribution of molecules and yield candidate molecules from ...
This work. Proposed generative models include variational autoencoders, generative adversarial networks, normalizing flows, autoregressive models, and diffusion models25. Here, we adopt a diffusion model named DiffLinker to generate novel MOF linkers. Diffusion models use a probability distribution and Mar...
{2024}, volume={}, number={}, pages={1-17}, keywords={Diffusion models;Perturbation methods;Closed box;Noise reduction;Solid modeling;Image color analysis;Glass box;Semantics;Gaussian noise;Purification;Adversarial attack;diffusion model;imperceptible attack;transferable attack}, doi={10.1109/TPAMI....
Adversarial purification with Score-based generative models Jongmin Yoon, Sung Ju Hwang, Juho Lee ICML 2021. [Paper] [Github] 11 Jun 2021 Natural Language Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruigi...
code/attack_tools.py: some adversarial attack tools code/stat.py: run statistics on success rate, transferability and anti-purification power [to be released] Cited as: @article{xue2023diffusion, title={Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability}, author...