Targeted universal adversarial perturbation
WebJul 1, 2024 · Template-Based Universal Adversarial Perturbation for SAR Target Classification November 2024 With deep learning models been widely applied to SAR … Web一、简介. 本文提出的算法是基于数据投毒的后门攻击，主要有以下特点：. 1.不同于常见的patch backdoor，本文采用的是adversarial backdoor，隐蔽性更强，也更容易绕过检测 …
Targeted universal adversarial perturbation
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WebRecent studies have proven that synthetic aperture radar (SAR) automatic target recognition (ATR) models based on deep neural networks (DNN) are vulnerable to adversarial examples. However, existing attacks easily fail in the case where adversarial perturbations cannot be fully fed to victim models. We call this situation perturbation … WebOct 7, 2024 · A double targeted universal adversarial perturbations (DT-UAPs) are introduced to bridge the gap between the instance-discriminative image-dependent …
WebAgarwal et al. [13] presented an efficient adversarial detection method to identify an image-agnostic universal perturbation. This method operates on (1) the pixel values and (2) the... WebRecent studies have proven that synthetic aperture radar (SAR) automatic target recognition (ATR) models based on deep neural networks (DNN) are vulnerable to …
Web2 days ago · The vulnerability of the high-performance machine learning models implies a security risk in applications with real-world consequences. Research on adversarial attacks is beneficial in guiding the development of machine … WebJul 1, 2024 · -Targeted attack: An attack where the model is deceived to predict an output desired by the attacker [67], [68]. Thus, the output of the model that has been exposed to such an attack will still...
WebA novel transfer-based targeted attack method that optimizes the adversarial perturbations without any extra training efforts for auxiliary networks on training data is proposed, named as Self-Universality (SU) attack. In this paper, we propose a novel transfer-based targeted attack method that optimizes the adversarial perturbations …
WebNov 30, 2024 · Faced with those problems, this paper proposes a SAR universal adversarial perturbation (SAR-UAP) for SAR images adversarial attacks based on … breaking news the queenWebOct 7, 2024 · A single universal adversarial perturbation (UAP) can be added to all natural images to change most of their predicted class labels. It is of high practical relevance for an attacker to have flexible control over the targeted classes to be attacked, however, the existing UAP method attacks samples from all classes. breaking news the starWebWe benchmark the performance of these attacks and show that with a small perturbation in the input of the NN, the white-box attacks can result in infeasible solutions up to 86%. Furthermore, we investigate the performance of black-box attacks. ... Universal Adversarial Attacks on Neural Networks for Power Allocation in a Massive MIMO System ... cost of gutter replacement per footbreaking news the worldWebApr 3, 2024 · A single universal adversarial perturbation (UAP) can be added to all natural images to change most of their predicted class labels. It is of high practical relevance for an attacker to have... breaking news the villagesWebJun 28, 2024 · Compared with the conventional adversarial attacks that generate adversarial samples at the instance level, UAP can fool the target model for different instances with only a single perturbation, enabling us to evaluate the robustness of the model from a more effective and accurate perspective. breaking news the washington postWebOct 10, 2024 · This paper proposes a universal adversarial perturbation (UAP) attack method in data-free scenario, which can realize targeted attack to any class specified by … cost of gutters and soffits