malware detection

AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research AAAI 2026 DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift AAAI 2026 FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture EMNLP 2025 Localizing Malicious Outputs from CodeLLM EMNLP 2025 MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation IJCAI 2025 DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness ICLR 2024 Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection AISTATS 2024 EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis NeurIPS 2023 Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness AAAI 2023 Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract) AAAI 2022 Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection IJCAI 2021 Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection AAAI 2021 MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning IJCAI 2021 Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 Dynamic Malware Analysis with Feature Engineering and Feature Learning AAAI 2020 Heterogeneous Graph Matching Networks for Unknown Malware Detection IJCAI 2019 Identifying Android Malware Using Network-Based Approaches AAAI 2019 MIGAN: Malware Image Synthesis Using GANs AAAI 2019 Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection IJCAI 2019 MalwareTextDB: A Database for Annotated Malware Articles ACL 2017 Bayesian Torrent Classification by File Name and Size Only PGM 2016 Is Feature Selection Secure against Training Data Poisoning? ICML 2015 Feature Cross-Substitution in Adversarial Classification NeurIPS 2014 Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features JMLR 2012 Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006