Improving transferability of adversarial
Witryna31 mar 2024 · [Submitted on 31 Mar 2024] Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan … WitrynaIn the transfer-based adversarial attacks, adversarial examples are onlygenerated by the surrogate models and achieve effective perturbation in thevictim models. Although …
Improving transferability of adversarial
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Witrynatacks, 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 … WitrynaThis work empirically investigates two classes of factors that might influence the transferability of adversarial examples, including model-specific factors, including network architecture, model capacity and test accuracy, and proposes a simple but effective strategy to improve the transferable. Currently it is well known that deep …
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 … 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 …
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 ... 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.
Witryna27 mar 2024 · Improving the Transferability of Adversarial Examples via Direction Tuning. In the transfer-based adversarial attacks, adversarial examples are only …
Witryna27 lut 2024 · Based on these understanding, a simple but effective strategy is proposed to enhance transferability. We call it variance-reduced attack, since it utilizes the … flipkey londonWitryna1 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. greatest female rappers of all timeWitrynaRFN, 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 … flipkey madeira beachWitryna11 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 … flipkey long term apartment rentalsWitryna20 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 … flipkey listingWitrynaCVPR 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 … greatest female singers in historyWitrynaIn 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 ... flipkey london airport hotels heathrow