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Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift

8 October 2020

Papers citing "Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift"

30 / 30 papers shown

Title
Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis via Intermediate Representation and Language Model Side Liu Jiang Ming Guodong Zhou Xinyi Liu Jianming Fu Guojun Peng AAML 32 0 0 20 Jun 2025
MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Eunjin Roh Yigitcan Kaya Christopher Kruegel Giovanni Vigna Sanghyun Hong 120 0 0 24 May 2025
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis Md. Mahim Anjum Haque Ismail Hossain Md Mahmuduzzaman Kamol Md. jahangir Alam Suresh Kumar Amalapuram Sajedul Talukder Mohammad Saidur Rahman 112 0 0 24 May 2025
On the Security Risks of ML-based Malware Detection Systems: A Survey Ping He Yuhao Mao Changjiang Li Lorenzo Cavallaro Ting Wang Shouling Ji 98 0 0 16 May 2025
Security through the Eyes of AI: How Visualization is Shaping Malware Detection Matteo Brosolo A. Aazami R. Agarwal M. Prabhakaran S. Nicolazzo Antonino Nocera V. P. Vinod Puthuvath AAML 81 0 0 12 May 2025
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection Shiwen Song Xiaofei Xie Ruitao Feng Qi Guo Sen Chen AAML 91 0 0 28 Apr 2025
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift Jiamin Chang Haoyang Li Hammond Pearce Ruoxi Sun Yue Liu Minhui Xue 91 0 0 28 Apr 2025
LAMD: Context-driven Android Malware Detection and Classification with LLMs Xingzhi Qian Xinran Zheng Yiling He Shuo Yang Lorenzo Cavallaro 152 4 0 18 Feb 2025
MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay Mohammad Saidur Rahman Scott E. Coull Qi Yu M. Wright AAML 143 2 0 09 Feb 2025
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems Ping He Lorenzo Cavallaro Shouling Ji AAML 211 0 0 23 Jan 2025
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning Eric Li Yifan Zhang Yu Huang Kevin Leach 94 1 0 20 Sep 2024
Revisiting Static Feature-Based Android Malware Detection Md Tanvirul Alam Dipkamal Bhusal Nidhi Rastogi AAML 60 0 0 11 Sep 2024
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers Rahul Yumlembam Biju Issac S. M. Jacob Longzhi Yang AAML 67 4 0 01 Sep 2024
PromptSAM+: Malware Detection based on Prompt Segment Anything Model Xingyuan Wei Yichen Liu Ce Li Ning Li Degang Sun Yan Wang VLM AAML 72 0 0 04 Aug 2024
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research Daniel Gibert AAML 62 1 0 29 Apr 2024
Feature graph construction with static features for malware detection Binghui Zou Chunjie Cao Longjuan Wang Yinan Cheng Jingzhang Sun 37 0 0 25 Apr 2024
Prompted Contextual Vectors for Spear-Phishing Detection Daniel Nahmias Gal Engelberg Dan Klein A. Shabtai 35 11 0 13 Feb 2024
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version) Zeliang Kan Shae McFadden Daniel Arp Feargus Pendlebury Roberto Jordaney Johannes Kinder Fabio Pierazzi Lorenzo Cavallaro 103 1 0 02 Feb 2024
MORPH: Towards Automated Concept Drift Adaptation for Malware Detection Md Tanvirul Alam Romy Fieblinger Ashim Mahara Nidhi Rastogi 43 3 0 23 Jan 2024
Efficient Concept Drift Handling for Batch Android Malware Detection Models Borja Molina-Coronado U. Mori A. Mendiburu J. Miguel-Alonso 55 8 0 18 Sep 2023
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting Ping He Yifan Xia Xuhong Zhang Shouling Ji AAML 85 15 0 05 Sep 2023
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance Savino Dambra Yufei Han Simone Aonzo Platon Kotzias Antonino Vitale Juan Caballero Davide Balzarotti Leyla Bilge 80 27 0 27 Jul 2023
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness Shoumik Saha Wenxiao Wang Yigitcan Kaya Soheil Feizi Tudor Dumitras AAML 65 1 0 20 Mar 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 98 10 0 21 Feb 2023
Large Language Models for Code: Security Hardening and Adversarial Testing Jingxuan He Martin Vechev ELM AAML 93 122 0 10 Feb 2023
Continuous Learning for Android Malware Detection Yizheng Chen Zhoujie Ding David Wagner 107 39 0 08 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 64 2 0 01 Feb 2023
Robust Machine Learning for Malware Detection over Time Daniele Angioni Christian Scano Maura Pintor Battista Biggio 31 3 0 09 Aug 2022
Firenze: Model Evaluation Using Weak Signals Bhavna Soman A. Torkamani Michael J. Morais Jeffrey Bickford Baris Coskun 87 2 0 02 Jul 2022
DAEMON: Dataset-Agnostic Explainable Malware Classification Using Multi-Stage Feature Mining Ron Korine Danny Hendler 12 16 0 04 Aug 2020