Detail enhancement increases the weight of details in clean examples by a frequency-domain augmentation module. Diversity enhancement incorporates slight adversarial examples into the training process to increase the diversity of clean examples. In the stage of adversarial generation, we perturb the ...
本篇文章的工作目标是提高对抗样本的迁移性(improving the transferability of adversarial examples or generate transferable adversarial examples)。迁移性对抗攻击是黑盒对抗攻击方法的一种,其主要利用了对抗样本的迁移性,在替代模型上利用白盒对抗攻击方式生成对抗样本,期望能够成功攻击未知的黑盒模型。
transferability of the adversarial examples. During the training process, we also extracted saliency maps of the fused multi-focus images and their adversarial images from the surrogate classification model. By disrupting the correlation between salient features of the original and adversarial examples, we...
QEBA在HSJA基础上,改动了梯度估计时的子空间实现加速,具体分为以上三种采样方式。 QEBA-S (Spatial),利用图像spatial domain的局部相似性,在小尺度\lfloor N/r\rfloor\times\lfloor N/r\rfloor上定义每一个位置为1,其他位置为0的一组basis,然后双线性插值到原N\times N空间上做一组basis,然后采样维度为basi...
Generating adversarial examples with adversarial networks Proc. The 27 International Joint Conference on Artificial Intelligence Main Track (2018), pp. 3905-3911 CrossrefView in ScopusGoogle Scholar [15] Wu, D., Wang, Y., Xia, S., et al.:‘Skip connections matter: on the transferability of ...
Examples of different regions are shown in Figure 4 (c) - (l). We only consider the facial features because most deepfake arts focus on them, and they convey the most information in a facial image; Tg: The reference number Tg ∈ {0, ·...
Deep neural networks have shown significant progress in biometric applications. Deep learning networks are particularly vulnerable to Adversarial examples
Unveiling the veil: high-frequency components as the key to understanding medical DNNs’ vulnerability to adversarial examples Your privacy, your choice We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis...
Under the adversarial security threats, on the one hand, advances have been made in the evaluation system for adversarial examples from the perspective of electromagnetic signal characteristics, such as Perturbation-to-Signal Ratio (PSR) [31], Bit Error Rate (BER) [35], and so on [36]. On...
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Robust Learning against Relational Adversaries On the Tradeoff Between Robustness and Fairness ...