Nov 13, 2021 · In this paper, we propose the first structural attack against graph-based Android malware detection techniques, which addresses the inverse-transformation ...

In this paper, we propose the first structural attack against graph- based Android malware detection techniques, which addresses the inverse-transformation ...

... Here, we discuss how RL has been used by researchers to develop attacks in the general domain of security. [75] proposed the first structural attack against ...

In this paper, we propose a novel deep learning-based detection system, named RGDroid, which is capable of detecting malware under graph structural attacks.

Sep 5, 2024 · ZhaoK. et al. Structural attack against graph based android malware detection. Proc. 2021 ACM SIGSAC Conf. Comput. Commun.

... malware because they continually adapt their methods to exploit vulnerabilities in the Android ecosystem, leveraging novel attack vectors. Such techniques ...

2. Poisoning Attack · Automated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach. · When Does Machine ...

Here we first introduce the system and threats considered in our work, and then propose an attack formulation to guide the design of black-box AE attacks. 3.1 ...

Traditional anti-malware solutions are mainly based on signature-based detection techniques [3], which rely on the analysis and comparison of malware attack ...

Structural attack against graph based android malware detection. K Zhao, H ... Binarizedattack: Structural poisoning attacks to graph-based anomaly detection.