2.1 Evasion attacks against diffusion-based purification 基于扩散的净化防御利用扩散模型首先用高斯噪声扩散对抗样本,然后进行采样以消除噪声。通过这种方式,由于扩散模型的训练分布是干净的,因此希望也可以消除精心设计的对抗扰动。扩散长度(即总扩散时间步长)通常很大,并且在每个时间步长,深度神经网
[Guided Diffusion Model for Adversarial Purification](http://arxiv.org/abs/2106.09667) 比较有意思的是,两篇文章都是用diffusion来做对抗样本防御(去噪)的,论文标题就差了一个字(笑),意外碰上了,让我们来看看上交和英伟达的论文那个更remarkable ! 为了方便表示,用P1代表英伟达的论文,p2代表上交的论文。 个人...
their performance currently falls behind adversarial training methods. In this work, we proposeDiffPurethat uses diffusion models for adversarial purification: Given an adversarial example, we first diffuse it with a small amount of noise following a forward diffusion process, and then recover the clea...
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={Xue, Haotian and Araujo, Alexandre and Hu, Bin...
The misuse of face forgery poses significant privacy threats, making face forgery detection a research hotspot.However, deep neural network (DNN)-based detection models remain highly vulnerable to adversarial attacks, while existing adversarial defense strategies for detection models are still limited. To...
Online adversarial purification based on self-supervision. arXiv preprint arXiv:2101.09387, 2021. 7 [79] Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, et al. Make-a-video: Text...
117 (2023-11-13) Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models https://arxiv.org/pdf/2311.07110.pdf 118 (2023-11-12) Sampler Scheduler for Diffusion Models https://arxiv.org/pdf/2311.06845.pdf ...
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 ...
Recently Diffusion-based Purification (DiffPure) has been recognized as an effective defense method against adversarial examples. However, we find DiffPure which directly employs the original pre-trained diffusion models for adversarial purification, to be suboptimal. This is due to an inherent trade-...
Nieet al. [140]adversarial purificationconditioned on imageScore SDE, Improved DDPM, DDIMCIFAR-10, ImageNet, CelebA-HQ Wanget al. [141]semantic image generationconditioned on semantic mapDDPMCityscapes, ADE20K, CelebAMask-HQ Zhouet al. [142]shape generation and completionunconditional, conditional ...