Improving transferability of adversarial

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August undefined, 2024

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 … 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 …

[2301.12968] Improving Adversarial Transferability with Scheduled …

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 … Witryna19 mar 2024 · By evaluating our method against top defense solutions and official baselines from NIPS 2024 adversarial competition, the … greenlight laser prostatectomy reviews

GM-Attack: Improving the Transferability of Adversarial Attacks …

Witryna17 mar 2024 · Although considerable efforts of adversarial attacks on improving the transferability of adversarial examples have been developed, the attack success … WitrynaTWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu · Yi Xu · Xiangyang Ji · Antoni Chan … 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 … flying colours tas

[2012.00567] Boosting Adversarial Attacks on Neural Networks …

ILA-DA: Improving Transferability of Intermediate Level Attack …

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. 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. greenlight laser prostatectomy videoWitrynaiterative 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 … flying colours universal school

"WitrynaWe introduce the Intermediate Level Attack (ILA), which attempts to fine-tune an existing adversarial example for greater black-box transferability by increasing its … " - Improving transferability of adversarial

Improving transferability of adversarial

[2303.15735] Improving the Transferability of Adversarial Samples by ...

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 ... Witryna1 cze 2024 · By studying adversarial example, we can understand the internal semantics of neural network and find the decision boundary with problems, which in turn helps to …

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http://proceedings.mlr.press/v129/wu20a.html Witryna11 maj 2024 · In this paper, we propose a method named Gradient Refining, which can further improve the adversarial transferability by correcting useless gradients …

WitrynaIn the transfer-based adversarial attacks, adversarial examples are onlygenerated by the surrogate models and achieve effective perturbation in thevictim models. Although considerable efforts have been developed on improvingthe transferability of adversarial examples generated by transfer-basedadversarial attacks, our … Witryna11 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 …

Witryna27 mar 2024 · Improving the Transferability of Adversarial Examples via Direction Tuning. In the transfer-based adversarial attacks, adversarial examples are only … 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.

Witryna19 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.

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 ... flying colours tattoo st austellWitrynaIn 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 … green light laser prostate recoveryWitrynaBy optimizing perturbations over non-saliency regions, the generated adversarial examples are less sensitive to the attacked source models and have better … greenlight laser ablation of the prostate green light laser prostate surgery cpt codeWitrynaIn the transfer-based adversarial attacks, adversarial examples are onlygenerated by the surrogate models and achieve effective perturbation in thevictim models. Although … flying column bandWitryna17 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 … flying column wikipediaWitryna19 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 … flying column iheart