Improving transferability of adversarial

Author: jltz

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 … WitrynaThis work empirically investigates two classes of factors that might influence the transferability of adversarial examples, including model-specific factors, including …

[2012.00567] Boosting Adversarial Attacks on Neural Networks …

Witryna11 maj 2024 · In this paper, we propose a method named Gradient Refining, which can further improve the adversarial transferability by correcting useless gradients … 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 … dyer point home for sale palm city

Improving the Transferability of Adversarial Samples with …

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 ... 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. Witryna20 cze 2024 · By evaluating our method against top defense solutions and official baselines from NIPS 2024 adversarial competition, the enhanced attack reaches an … crystalpine stinger wow classic

论文那些事—Improving the Transferability of Adversarial …

Enhancing Adversarial Example Transferability with an …

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,... 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. dyer palms apartments el pasoWitrynaiterative 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 … crystal pines rehabilitation crystal lake

"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 … " - Improving transferability of adversarial

Improving transferability of adversarial

Fuzziness-tuned: Improving the Transferability of Adversarial …

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 … WitrynaAmong numerous approaches to address this Out-of-Distribution (OOD) generalization problem, there has been a growing surge of interest in exploiting Adversarial …

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Witryna1 wrz 2024 · Aiming to generate adversarial examples with strong transferability in targeted attacks, we propose an approach based on saliency distribution and data … 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.

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

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 … 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 …

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

WitrynaTWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu · Yi Xu · Xiangyang Ji · Antoni Chan … crystal pinkneyWitryna1 gru 2024 · The proposed Adam Iterative Fast Gradient Method is then used to improve the transferability of adversarial examples. Extensive experiments on ImageNet … crystal pines skilled nursing crystal lake ilWitrynatacks, 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 … dyer point cape elizabeth maineWitrynaTWINS: 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 … crystal pink dressesWitrynaMoreover, 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 ... crystal pink eventsWitryna1 mar 2024 · Improving transferability of adversarial examples with powerful affine-shear transformation attack 1. Introduction. Image classification and recognition … crystal pink collagen dietary supplementWitrynaExtensive 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 … dyer pond wellfleet