也就是说,对每一个target model都要重新训练一个GAN,plug&play (P&P) 认为这种方式不够实用。于是,P&P希望解除target model和GAN之间的限制,用一个GAN同时攻击多个target models。他们的结果表明,即使使用的是一些公开的GAN (对应flexibility),或者公开数据和隐私数据之间的差距非常大的情况下(对应robustness),他们...
二、从Draggan出发,对比两种主流的生成模型:GAN和(latent) diffusion model GAN (s)(latent) diffusion models 学习方式 基于对抗训练的学习方式 基于最大似然的学习方式 细粒度编辑方式 较为方便,以draggan为例,可以同过Image上点的变化,定位到对应的feature map上的变化,进一步来优化输入的latent code 由于diffusio...
先验和 aggregate posterior 之间的不匹配可以通过重新加权来减少,在与 aggregate posterior 不匹配的地方重新调整其可能性。为了表示这种加权机制,使用EBM( Energy-based Models )来确定先验,EBM是由一个 reweighting factor 和一个基础可训练先验的乘积来定义的,如图13所示。用神经网络表示 reweighting factor ,用正态...
先验和 aggregate posterior 之间的不匹配可以通过重新加权来减少,在与 aggregate posterior 不匹配的地方重新调整其可能性。为了表示这种加权机制,使用EBM( Energy-based Models )来确定先验,EBM是由一个 reweighting factor 和一个基础可训练先验的乘积来定义的,如图13所示。用神经网络表示 reweighting factor ,用正态...
On the Quantitative Analysis of Decoder-Based Generative Models：https://arxiv.org/abs/1611.04273。Do GANs actually learn the distribution? An empirical study：https://arxiv.org/pdf/1706.08224.pdf。原文链接：https://fermatslibrary.com/arxiv_comments?url=https%3A%2F%2Farxiv.org%2Fpdf%2F1406...
Table 3 Comparison of metrics between generative models based on GAN-test and GAN-Train. 表3 基于GAN-test和GAN-Train的生成模型之间的指标比较。 Table 4 Index comparison between GAN-test and Gan-train of the generated model. 表4 生成模型的GAN-test和Gan-train之间的指标比较。
in their 2016 paper titled “Pixel-Level Domain Transfer” demonstrate the use of GANs to generate photographs of clothing as may be seen in a catalog or online store, based on photographs of models wearing the clothing. Video Prediction Carl Vondrick, et al. in their 2016 paper titled “...
VGAN—GenerativeAdversarialNetworksasVariationalTrainingofEnergyBasedModels VAE-GAN—Autoencodingbeyondpixelsusingalearnedsimilaritymetric ViGAN—ImageGenerationandEditingwithVariationalInfoGenerativeAdversarialNetworks WGAN—WassersteinGAN WGAN-GP—ImprovedTrainingofWassersteinGANs WaterGAN—WaterGAN:UnsupervisedGenerativeNetwork...
this work investigates the pitfalls of backdoor attacks in training conditional FedGAN models. We conduct extensive experiments to investigate the backdoor attack on two public datasets and evaluate among different types and sizes of triggers. Based on our key observations on malicious clients’ loss...
还是先横向对一下最近比较火的几个生成模型GAN、VAE、Flow-based Models、Diffusion Models。GAN 由一个...