WebAug 3, 2024 · In this paper, we first propose and formulate the camouflage of injected nodes from both the fidelity and diversity of the ego networks centered around injected nodes. Then, we design an adversarial CAmouflage framework for Node injection Attack, namely CANA, to improve the camouflage while ensuring the attack performance. WebOct 25, 2024 · This is the official implementation and case study of the Full-coverage Vehicle Camouflage (FCA) method proposed in our AAAI 2024 paper FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. Source code can be find in here. Abstract

idrl-lab/Full-coverage-camouflage-adversarial-attack - Github

WebMar 1, 2024 · Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. Deep learning models are vulnerable to adversarial examples. As a … WebSep 19, 2024 · The use of different types of camouflage is a longstanding technique employed by armed forces in order to avoid detection, classification or tracking of objects … emmett horne calgary

Adversarial Camouflage for Node Injection Attack on Graphs

WebNov 3, 2024 · Adversarial patches to obfuscate the presence of a person (Figure 1 of [ 3 ]). Of greatest relevance to this work is a recent paper entitled “Adversarial Patch Camouflage against Aerial... WebTo perform adversarial attacks in the physical world, many studies have proposed adversarial camouflage, a method to hide a target object by applying camouflage patterns on 3D object surfaces. For obtaining optimal physical adversarial camouflage, previous studies have utilized the so-called neural renderer, as it supports differentiability. WebMar 18, 2024 · To perform adversarial attacks in the physical world, many studies have proposed adversarial camouflage, a method to hide a target object by applying camouflage patterns on 3D object... drainage system of houses