2024 Improving transferability of adversarial

Improving transferability of adversarial

Author: qwtr

August undefined, 2024

Witryna21 lip 2024 · Adversarial examples can attack multiple unknown convolutional neural networks (CNNs) due to adversarial transferability, which reveals the vulnerability of CNNs and facilitates the development of adversarial attacks. However, most of the existing adversarial attack methods possess a limited transferability on vision … 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 …

Improving Transferability of Adversarial Patches on Face …

Witryna11 maj 2024 · In this paper, we propose a method named Gradient Refining, which can further improve the adversarial transferability by correcting useless gradients … WitrynaGenerally, the size of perturbations affects adversarial examples' visual quality and transferability. More significant perturbations enhance the transferability of adversarial images, so the success rate of attacking other models with adversarial images crafted on one model is improved. city of bunbury zoning

Improving transferability of adversarial examples by saliency ...

WitrynaTWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu · Yi Xu · Xiangyang Ji · Antoni Chan Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting ... Implicit Identity Leakage: The Stumbling Block to Improving Deepfake … Witryna17 mar 2024 · Although considerable efforts of adversarial attacks on improving the transferability of adversarial examples have been developed, the attack success … 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 … donate old towels to animal shelters

论文那些事—Improving the Transferability of Adversarial …

Improving the Transferability of Adversarial Samples With Adversarial …

WitrynaExtensive experiments on ImageNet Dataset indicate that our proposed method could exhibit higher transferability and achieve higher attack success rates on both single model settings and ensemble-model settings. It can also combine with other gradient-based methods and image transformation-based methods to further build more … 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 ... donate old textbooks 2016WitrynaImproving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Abstract: The transferability of adversarial examples allows the … city of bunbury youth precinct

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Improving transferability of adversarial

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. Witryna19 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 …

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WitrynaThis work empirically investigates two classes of factors that might influence the transferability of adversarial examples, including model-specific factors, including … Witryna8 cze 2024 · Download a PDF of the paper titled On Improving Adversarial Transferability of Vision Transformers, by Muzammal Naseer and 4 other authors …

Witryna29 sty 2024 · Deep Neural Networks (DNNs) [11, 13, 14, 24, 31] have been widely applied in computer vision, such as autonomous driving [3, 6, 10], and facial recognition [2, 7].However, Szegedy [] found that applying certain imperceptible perturbations to images can make DNNs misclassify, and they refer to such perturbed images as … Witryna1 wrz 2024 · Aiming to generate adversarial examples with strong transferability in targeted attacks, we propose an approach based on saliency distribution and data …

Witryna1 cze 2024 · To achieve high transferability, many techniques have been proposed to mitigate the overfitting phenomenon from the perspective of data, models, loss design, and optimization methods. Concretely,... WitrynaWe introduce the Intermediate Level Attack (ILA), which attempts to fine-tune an existing adversarial example for greater black-box transferability by increasing its …

WitrynaCVPR 2024 Open Access Repository. Improving the Transferability of Adversarial Samples With Adversarial Transformations. Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 9024-9033. Abstract. Although deep neural networks …

Witryna11 kwi 2024 · The transferability of adversarial examples is a crucial aspect of evaluating the robustness of deep learning systems, particularly in black-box … donate old wireless routersWitryna11 kwi 2024 · A general foundation of fooling a neural network without knowing the details (i.e., black-box attack) is the attack transferability of adversarial examples across different models. Many works have been devoted to enhancing the task-specific transferability of adversarial examples, whereas the cross-task transferability is … city of bunbury wildlife parkWitryna29 mar 2024 · Deep neural networks are vulnerable to adversarial examples that mislead the models with imperceptible perturbations. Though adversarial attacks … donate on gamefaqsWitryna20 cze 2024 · By evaluating our method against top defense solutions and official baselines from NIPS 2024 adversarial competition, the enhanced attack reaches an … donate old wedding dresses houstonWitrynaIn 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 … city of bunkie utilitiesWitryna25 cze 2024 · To boost the transferability of adversarial samples, we propose to improve the robustness of synthesized adversarial samples via adversarial transformations. … donate on a charity instead of birthday giftsWitrynaThe 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 … donate one bunch banana