共 50 条
- [2] Effectiveness of machine learning based android malware detectors against adversarial attacks CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (03): : 2549 - 2569
- [3] An Adversarial Machine Learning Model Against Android Malware Evasion Attacks WEB AND BIG DATA, 2017, 10612 : 43 - 55
- [4] Feature-Based Adversarial Attacks Against Machine Learnt Mobile Malware Detectors 2020 30TH INTERNATIONAL TELECOMMUNICATION NETWORKS AND APPLICATIONS CONFERENCE (ITNAC), 2020, : 135 - 142
- [5] SpacePhish: The Evasion-space of Adversarial Attacks against PhishingWebsite Detectors using Machine Learning PROCEEDINGS OF THE 38TH ANNUAL COMPUTER SECURITY APPLICATIONS CONFERENCE, ACSAC 2022, 2022, : 171 - 185
- [9] Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis 2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE SERVICES ENGINEERING, SSE, 2023, : 222 - 231