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Mobile malware has become one of the most critical security threats in the era of ubiquitous mobile computing.
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TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones
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theZoo aka Malware DB
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Automated Synthesis of Semantic Malware Signatures using Maximum Satisfiability. In Annual Symposium on Network and Distributed System Security
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
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HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Halifax, NS, Canada) (KDD ’17) . Association for Computing Machinery, New York, NY, USA, 1507–1515
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DeepXplore: Automated Whitebox Testing of Deep Learning Systems. In Proceedings of the 26th Symposium on Operating Systems Principles (Shanghai, China) (SOSP ’17) . Association for Computing Machinery, New York, NY, USA, 1–18
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StegExpose
b3dk7. 2018 · 2018
Cited alongside, same era.
backdoor-apk
dana-at cp. 2018 · 2018
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Deeplocker–concealing targeted attacks with ai locksmithing
J. J. Dhilung Kirat and M. P. Stoecklin. 2018 · 2018
Cited alongside, same era.
Trojaning Attack on Neural Networks. In 25th Annual Network and Distributed System Security Symposium (NDSS) . 18–221
Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, and Xiangyu Zhang. 2018 · 2018
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Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen, Chaoran Li, Derui Wang, Sheng Wen, Jun Zhang, Surya Nepal, Yang Xiang, and Kui Ren. 2020 · 2019
Cited alongside, same era.
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)
Lucky Onwuzurike, Enrico Mariconti, Panagiotis Andriotis, Emiliano De Cristofaro, Gordon Ross, and Gianluca Stringhini. 2019 · 2019
DeepPayload: Black-Box Backdoor Attack on Deep Learning Models through Neural Payload Injection. In Proceedings of the 43rd International Conference on Software Engineering (Madrid, Spain) (ICSE ’21) . IEEE Press, 263–274
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TheFatRat
screetsec. 2021 · 2021
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AndroidMalware_2020
sk3ptre. 2021 · 2021
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Cybercrime To Cost The World $10.5 Trillion Annually By 2025
Cybersecurity Venture. 2020 · 2021
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EvilModel: Hiding Malware Inside of Neural Network Models. In 2021 IEEE Symposium on Computers and Communications (ISCC) . 1–7
Zhi Wang, Chaoge Liu, and Xiang Cui. 2021 · 2021
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keras applications
keras team. 2022 · 2022
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Cited alongside, same era.
CNN-Based Adversarial Embedding for Image Steganography
Weixuan Tang, Bin Li, Shunquan Tan, Mauro Barni, and Jiwu Huang. 2019 · 2019
Cited alongside, same era.
Steganographic generative adversarial networks. In Twelfth International Conference on Machine Vision (ICMV 2019) , Vol. 11433. International Society for Optics and Photonics, SPIE, 114333M
Denis Volkhonskiy, Ivan Nazarov, and Evgeny Burnaev. 2020 · 2019
Cited alongside, same era.
Audio Steganography Based on Iterative Adversarial Attacks Against Convolutional Neural Networks
Junqi Wu, Bolin Chen, Weiqi Luo, and Yanmei Fang. 2020a · 2019
Cited alongside, same era.
A first look at deep learning apps on smartphones. In The World Wide Web Conference . 2125–2136
Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, and Xuanzhe Liu. 2019 · 2019
Cited alongside, same era.
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. In Computer Vision – ECCV 2020 . Springer International Publishing, Cham, 182–199
Yunfei Liu, Xingjun Ma, James Bailey, and Feng Lu. 2020b · 2020
Cited alongside, same era.
AI-Powered GUI Attack and Its Defensive Methods. In Proceedings of the 2020 ACM Southeast Conference (Tampa, FL, USA) (ACM SE ’20) . Association for Computing Machinery, New York, NY, USA, 79–86
Ning Yu, Zachary Tuttle, Carl Jake Thurnau, and Emmanuel Mireku. 2020 · 2020
Cited alongside, same era.
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Android Banking Trojan SOVA Comes Back With New Features Including Ransomware
Alessandro Mascellino. 2022 · 2022
Later among the works it cites.
metasploit
rapid7. 2022 · 2022
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openstego
syvaidya. 2022 · 2022
Later among the works it cites.
Android malware Escobar steals your Google Authenticator MFA codes
Bill Toulas. 2022 · 2022
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44 Worrying Malware Statistics to Take Seriously in 2022
Branka Vuleta. 2021 · 2022
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EvilModel 2.0: Bringing Neural Network Models into Malware Attacks
Zhi Wang, Chaoge Liu, Xiang Cui, Jie Yin, and Xutong Wang. 2022 · 2022
Later among the works it cites.
Prompt Injection attack against LLM-integrated Applications
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, and Yang Liu. 2023 · 2023
Later among the works it cites.
MalModel
malmodel. 2023 · 2023
Later among the works it cites.
MalWhiteout: Reducing Label Errors in Android Malware Detection (ASE ’22) . Association for Computing Machinery, New York, NY, USA, Article 69, 13 pages
Liu Wang, Haoyu Wang, Xiapu Luo, and Yulei Sui. 2023 · 2023
Later among the works it cites.
MalCertain: Enhancing Deep Neural Network Based Android Malware Detection by Tackling Prediction Uncertainty. In Proceedings of the 46th International Conference on Software Engineering (ICSE ’24)
Haodong Li, Guosheng Xu, Liu Wang, Xusheng Xiao, Xiapu Luo, Guoai Xu, and Haoyu Wang. 2024 · 2024
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