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LAMD: Context-driven Android Malware Detection and Classification with LLMs

18 February 2025

Papers citing "LAMD: Context-driven Android Malware Detection and Classification with LLMs"

26 / 26 papers shown

Title
The Hitchhiker's Guide to Program Analysis, Part II: Deep Thoughts by LLMs Haonan Li Hang Zhang Kexin Pei Zhiyun Qian 106 1 0 16 Apr 2025
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering Hamed Jelodar Samita Bai Parisa Hamedi Hesamodin Mohammadian R. Razavi-Far Ali Ghorbani 64 2 0 07 Apr 2025
On Benchmarking Code LLMs for Android Malware Analysis Yiling He Hongyu She Xingzhi Qian Xinran Zheng Zhuo Chen Zhan Qin Lorenzo Cavallaro ELM 107 1 0 01 Apr 2025
Learning Temporal Invariance in Android Malware Detectors Xinran Zheng Shuo Yang Edith C.H. Ngai Suman Jana Lorenzo Cavallaro 85 2 0 07 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 373 1,967 0 22 Jan 2025
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Brandon J Walton Mst Eshita Khatun James M Ghawaly Aisha Ali-Gombe 70 2 0 10 Jan 2025
Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models Ying Zhang Xiaoyan Zhou Hui Wen Wenjia Niu Jiqiang Liu Haining Wang Qiang Li 66 5 0 11 Jul 2024
Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez 36 11 0 15 May 2024
AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering Wenxiang Zhao Juntao Wu Zhaoyi Meng AAML 47 12 0 29 Apr 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 61 8 0 05 Feb 2024
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning Yuqiang Sun Daoyuan Wu Yue Xue Han Liu Wei Ma Lyuye Zhang Miaolei Shi Yingjiu Li ELM 125 54 0 29 Jan 2024
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks Saad Ullah Mingji Han Saurabh Pujar Hammond Pearce Ayse K. Coskun Gianluca Stringhini ELM LRM 51 76 0 19 Dec 2023
Large Language Models for Code Analysis: Do LLMs Really Do Their Job? Chongzhou Fang Ning Miao Shaurya Srivastav Jialin Liu Ruoyu Zhang ... Asmita Asmita Ryan Tsang Najmeh Nazari Han Wang Houman Homayoun 80 42 0 18 Oct 2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis Yiling He Jian Lou Zhan Qin Kui Ren FAtt AAML 55 9 0 10 Aug 2023
Can Large Language Models Be an Alternative to Human Evaluations? Cheng-Han Chiang Hung-yi Lee ALM LM&MA 278 629 0 03 May 2023
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization) Toufique Ahmed Kunal Suresh Pai Prem Devanbu Earl T. Barr LRM 67 114 0 13 Apr 2023
Human-like Summarization Evaluation with ChatGPT Mingqi Gao Jie Ruan Renliang Sun Xunjian Yin Shiping Yang Xiaojun Wan ALM AI4MH 55 133 0 05 Apr 2023
Toolformer: Language Models Can Teach Themselves to Use Tools Timo Schick Jane Dwivedi-Yu Roberto Dessì Roberta Raileanu Maria Lomeli Luke Zettlemoyer Nicola Cancedda Thomas Scialom SyDa RALM 151 1,755 0 09 Feb 2023
Continuous Learning for Android Malware Detection Yizheng Chen Zhoujie Ding David Wagner 71 37 0 08 Feb 2023
Robust Machine Learning for Malware Detection over Time Daniele Angioni Christian Scano Maura Pintor Battista Biggio 23 3 0 09 Aug 2022
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models Sami Sarsa Paul Denny Arto Hellas Juho Leinonen ELM 163 355 0 03 Jun 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 520 4,077 0 24 May 2022
Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift Federico Barbero Feargus Pendlebury Fabio Pierazzi Lorenzo Cavallaro 42 72 0 08 Oct 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Jinpeng Wang Kyunghyun Cho M. Lewis HILM 84 481 0 08 Apr 2020
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time Feargus Pendlebury Fabio Pierazzi Roberto Jordaney Johannes Kinder Lorenzo Cavallaro 54 359 0 20 Jul 2018
Reviewer Integration and Performance Measurement for Malware Detection Brad Miller Alex Kantchelian Michael Carl Tschantz Sadia Afroz Rekha Bachwani ... Vaishaal Shankar Tony Wu George Yiu A. Joseph J. D. Tygar 60 77 0 26 Oct 2015