Improving transferability of adversarial

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August undefined, 2024

WitrynaImproving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Abstract: The transferability of adversarial examples allows the … Witryna1 wrz 2024 · Aiming to generate adversarial examples with strong transferability in targeted attacks, we propose an approach based on saliency distribution and data …

Improving the Transferability of Adversarial Attacks Through

WitrynaThe adversarial attack with RAP is formulated as a min-max bi-level optimization problem. By integrating RAP into the iterative process for attacks, our method can find … WitrynaAs indicated, our GM-Attack can craft more transferable adversarial examples compared with other input transformation methods and attack success rate on Inc-v4 has been improved by 6.5% over state-of-the-art methods. References 1. Szegedy, C., et al.: Intriguing properties of neural networks. inc. promotional products

ILA-DA: Improving Transferability of Intermediate Level Attack …

http://proceedings.mlr.press/v129/wu20a.html WitrynaDeep neural networks(DNNs) is vulnerable to be attacked by adversarial examples. Black-box attack is the most threatening attack. At present, black-box attack methods ... Witryna25 cze 2024 · To boost the transferability of adversarial samples, we propose to improve the robustness of synthesized adversarial samples via adversarial transformations. … inc. r2 blast

Improving transferable adversarial attack via feature-momentum

Improving transferability of adversarial examples by saliency ...

WitrynaIn this paper, we propose an approach based on saliency distribution and data augmentation to generate transferable adversarial examples against the defense models. By optimizing perturbations over non-saliency regions, the generated adversarial examples are less sensitive to the attacked source models and have … Witryna17 sie 2024 · NI-FGSM aims to adapt Nesterov accelerated gradient into the iterative attacks so as to effectively look ahead and improve the transferability of adversarial … include within crossword clueWitryna17 mar 2024 · Although considerable efforts of adversarial attacks on improving the transferability of adversarial examples have been developed, the attack success … include with or

"Witryna%0 Conference Paper %T Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks %A Lei Wu %A Zhanxing Zhu %B Proceedings of The 12th Asian Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2024 %E Sinno Jialin Pan %E Masashi Sugiyama … " - Improving transferability of adversarial

Improving transferability of adversarial

On Improving Adversarial Transferability of Vision Transformers

WitrynaTWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu · Yi Xu · Xiangyang Ji · Antoni Chan … Witryna15 kwi 2024 · The improvement from the previous domain adaptation methods to the adversarial domain adaptation methods are very important for domain adaptation. …

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Witrynafor adversarial examples is the hypothesis on the linear na-ture of modern DNNs. Initially supported by the FGSM-attack this has been challenged by prior works from various … Witryna11 kwi 2024 · The transferability of adversarial examples is a crucial aspect of evaluating the robustness of deep learning systems, particularly in black-box …

Witryna1 lut 2024 · To improve black-box transferability, a previously proposed method called Intermediate Level Attack (ILA) fine-tunes an adversarial example by maximizing its perturbation on an intermediate layer of the source model. Meanwhile, it has been shown that simple image transformations can also enhance attack transferability. Witrynaiterative version, and showed that the generated adversarial examples can exist in the physical world. Dong et al. [9] proposed a broad class of momentum-based iterative …

Witryna24 cze 2024 · Improving Adversarial Transferability via Neuron Attribution-based Attacks Abstract: Deep neural networks (DNNs) are known to be vulnerable to adversarial examples. It is thus imperative to devise effective attack algorithms to identify the deficiencies of DNNs beforehand in security-sensitive applications. To … Witryna8 cze 2024 · Download a PDF of the paper titled On Improving Adversarial Transferability of Vision Transformers, by Muzammal Naseer and 4 other authors …

Witryna15 kwi 2024 · Adversarial attacks can help to reveal the vulnerability of neural networks. In the text classification domain, synonym replacement is an effective way to generate …

Witryna20 gru 2024 · Improving the Transferability of Adversarial Samples with Adversarial Transformations（算法：ATTA，CVPR2024） 1、摘要提出一种对抗变换网络，对数据增强进行模拟，并得到对对抗样本影响最大的变换，最后优化时消除这种影响，提高对抗样本的鲁棒性，也就是提高对抗样本的迁移性。之前大部分论文中基于数据增强来提 … inc. raleigh ncWitryna19 mar 2024 · Extensive experiments on the standard ImageNet dataset demonstrate that our method could improve the adversarial transferability of momentum-based methods by a large margin of 11.1% on average. Moreover, by incorporating with various input transformations, the adversarial transferability could be further improved … inc. rechtsform usaWitrynatacks, which requires improving the transferability of ad-versarial samples crafted with white-box attack strategies. We expect that the crux is to guide the search of … include with where clause in linqWitryna19 mar 2024 · By evaluating our method against top defense solutions and official baselines from NIPS 2024 adversarial competition, the … inc. relatives abbrWitryna27 paź 2024 · We propose a novel method called Spatial Momentum Iterative (SMI-FGSM) attack to improve adversarial transferability. It is then integrated with temporal momentum to simultaneously stabilize the gradients’ update direction from both the temporal and spatial domains. include with 意味Witryna25 cze 2024 · Face recognition is greatly improved by deep convolutional neural networks (CNNs). Recently, these face recognition models have been used for identity authentication in security sensitive applications. However, deep CNNs are vulnerable to adversarial patches, which are physically realizable and stealthy, raising new security … include without limitationWitrynaIn contrast, the black-box attack does not require the details of the target model, and one most typical solution for the black-box attack is called transferable adversarial attacks, which focuses on improving the transferability of adversarial perturbations, i.e., the adversarial perturbations created on a known model can effectively attack ... include with vs