Efficient Query-Based Attack against ML-Based Android Malware Detection
under Zero Knowledge Setting

v1v2 (latest)

Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

5 September 2023

Xuhong Zhang

ArXiv (abs)PDF HTML

Papers citing "Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting"

19 / 19 papers shown

Title
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems Ping He Lorenzo Cavallaro Shouling Ji AAML 204 0 0 23 Jan 2025
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 101 81 0 29 Dec 2022
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 68 9 0 10 Dec 2021
A Large-scale Temporal Measurement of Android Malicious Apps: Persistence, Migration, and Lessons Learned Yun Shen Pierre-Antoine Vervier Gianluca Stringhini 54 7 0 10 Aug 2021
Understanding Worldwide Private Information Collection on Android Yun Shen Pierre-Antoine Vervier Gianluca Stringhini PILM 38 14 0 25 Feb 2021
Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift Federico Barbero Feargus Pendlebury Fabio Pierazzi Lorenzo Cavallaro 70 74 0 08 Oct 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 123 131 0 09 Sep 2020
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection Deqiang Li Qianmu Li AAML 63 126 0 30 Jun 2020
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation Bozhi Wu Sen Chen Cuiyun Gao Lingling Fan Yang Liu W. Wen Michael R. Lyu 83 58 0 24 Apr 2020
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 107 670 0 03 Apr 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 115 905 0 18 Feb 2019
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 216 747 0 13 Dec 2018
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection Xiao Chen Chaoran Li Derui Wang S. Wen Jun Zhang Surya Nepal Yang Xiang K. Ren AAML 71 246 0 10 Aug 2018
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time Feargus Pendlebury Fabio Pierazzi Roberto Jordaney Johannes Kinder Lorenzo Cavallaro 88 359 0 20 Jul 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 135 1,409 0 08 Dec 2017
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection Ambra Demontis Marco Melis Battista Biggio Davide Maiorca Dan Arp Konrad Rieck Igino Corona Giorgio Giacinto Fabio Roli AAML 66 284 0 28 Apr 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,593 0 16 Aug 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 85 3,687 0 08 Feb 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 295 14,978 1 21 Dec 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.