Improving transferability of adversarial

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 … Witryna1 lut 2024 · This paper extracts sensitive features by Grad-CAM and proposes two single-step attacks methods and a multi-step attack method to corrupt sensitive features and improves the existing attack method, enhancing the adversarial sample transferability to achieve better results on unknown models. As deep learning models have made …

[2012.00567] Boosting Adversarial Attacks on Neural Networks …

Witryna1 wrz 2024 · Aiming to generate adversarial examples with strong transferability in targeted attacks, we propose an approach based on saliency distribution and data … WitrynaMoreover, the malicious adversaries crafted on the surrogate (source) model often exhibit black-box transferability on other models with the same learning task but having different architectures. Recently, various methods are proposed to boost the adversarial transferability, among which the input transformation is one of the most effective ... floating around 意味 https://savemyhome-credit.com

Boosting the Transferability of Adversarial Attacks with Reverse ...

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 … Witryna11 kwi 2024 · The transferability of adversarial examples is a crucial aspect of evaluating the robustness of deep learning systems, particularly in black-box … WitrynaImproving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients Ming Zhang, Xiaohui Kuang, Hu Li , Zhendong Wu, Yuanping Nie, Gang Zhao National Key Laboratory of Science and Technology on Information System Security, Beijing, China zm [email protected], [email protected], {lihu, wuzhendong, … floating around synonym

Improving the Transferability of Adversarial Attacks Through

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Improving transferability of adversarial

[2103.15571] Enhancing the Transferability of Adversarial Attacks ...

WitrynaIn 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 ... 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 …

Improving transferability of adversarial

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WitrynaWe introduce the Intermediate Level Attack (ILA), which attempts to fine-tune an existing adversarial example for greater black-box transferability by increasing its … http://proceedings.mlr.press/v129/wu20a.html

Witryna17 mar 2024 · Improving the transferability of adversarial examples with resized-diverse-inputs, diversity-ensemble and region fitting. In European Conference on Computer Vision, pages 563-579. Springer, 2024 ... Witryna27 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.

Witryna19 mar 2024 · By evaluating our method against top defense solutions and official baselines from NIPS 2024 adversarial competition, the … WitrynaRFN, a new approach for transferability that minimizes loss sharpness during training in order to maximize transferability, is proposed and shows that by searching for large flat neighborhoods, RFN always improves over early stopping and is competitive to (if not better than) strong state-of-the-art baselines. Transferability is the property of …

WitrynaBy optimizing perturbations over non-saliency regions, the generated adversarial examples are less sensitive to the attacked source models and have better …

Witryna31 mar 2024 · [Submitted on 31 Mar 2024] Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan … great hikes in colorado springsWitryna8 cze 2024 · Download a PDF of the paper titled On Improving Adversarial Transferability of Vision Transformers, by Muzammal Naseer and 4 other authors … great hikes in coloradoWitrynaThe 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 more stable adversarial examples which are less sensitive to the changes of decision boundary, mitigating the overfitting of the surrogate model. Comprehensive … great hikes in north carolinaWitrynaIn 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 … great hikes in massachusettsWitryna19 lip 2024 · Thus, numerous scholars devote to improving the transferability of adversarial samples. A series of related methods are proposed, being roughly classified into three types, i.e., gradient optimization attacks, input transformation attacks and ensemble-model attacks. Gradient Optimization Attacks. great hikes in big bend national parkWitryna17 mar 2024 · Although considerable efforts of adversarial attacks on improving the transferability of adversarial examples have been developed, the attack success … great hikes in northern virginiaWitrynaThe 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 … floating artist horse pedigree