BIDO: An Out-Of-Distribution Resistant Image-based Malware Detector
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Wei, Li, Junhui, Feng, Chengbin, Yang, Zhiwei, Mo, Qi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Study of Malware Prevention in Linux Distributions
by: Vu, Duc-Ly, et al.
Published: (2024)
by: Vu, Duc-Ly, et al.
Published: (2024)
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025)
by: Song, Shiwen, et al.
Published: (2025)
Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?
by: Li, Yikun, et al.
Published: (2025)
by: Li, Yikun, et al.
Published: (2025)
A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
by: Tan, Kai, et al.
Published: (2025)
by: Tan, Kai, et al.
Published: (2025)
MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)
by: Zeng, Xueying, et al.
Published: (2026)
Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
by: Xuan, Zhou, et al.
Published: (2026)
by: Xuan, Zhou, et al.
Published: (2026)
MalCVE: Malware Detection and CVE Association Using Large Language Models
by: Cristea, Eduard Andrei, et al.
Published: (2025)
by: Cristea, Eduard Andrei, et al.
Published: (2025)
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
by: Li, Yao, et al.
Published: (2024)
by: Li, Yao, et al.
Published: (2024)
Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026)
by: Arifin, Md Mashrur, et al.
Published: (2026)
Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
by: Zhang, Ying, et al.
Published: (2024)
by: Zhang, Ying, et al.
Published: (2024)
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024)
by: Meng, Zhaoyi, et al.
Published: (2024)
Mutation-based Evaluation of Cryptographic API Misuse Detectors
by: Ami, Amit Seal, et al.
Published: (2021)
by: Ami, Amit Seal, et al.
Published: (2021)
Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
by: Xia, Yifan, et al.
Published: (2023)
by: Xia, Yifan, et al.
Published: (2023)
MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025)
by: Meng, Zhaoyi, et al.
Published: (2025)
A Time Series Analysis of Malware Uploads to Programming Language Ecosystems
by: Ruohonen, Jukka, et al.
Published: (2025)
by: Ruohonen, Jukka, et al.
Published: (2025)
On the Security Risks of ML-based Malware Detection Systems: A Survey
by: He, Ping, et al.
Published: (2025)
by: He, Ping, et al.
Published: (2025)
Six Million (Suspected) Fake Stars in GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware
by: He, Hao, et al.
Published: (2024)
by: He, Hao, et al.
Published: (2024)
FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
by: Hu, Minghao, et al.
Published: (2025)
by: Hu, Minghao, et al.
Published: (2025)
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
by: Li, Zhen, et al.
Published: (2024)
by: Li, Zhen, et al.
Published: (2024)
Synergistic Directed Execution and LLM-Driven Analysis for Zero-Day AI-Generated Malware Detection
by: Edwards, George, et al.
Published: (2026)
by: Edwards, George, et al.
Published: (2026)
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors
by: Cheng, Baijun, et al.
Published: (2024)
by: Cheng, Baijun, et al.
Published: (2024)
APT-ClaritySet: A Large-Scale, High-Fidelity Labeled Dataset for APT Malware with Alias Normalization and Graph-Based Deduplication
by: Yin, Zhenhao, et al.
Published: (2025)
by: Yin, Zhenhao, et al.
Published: (2025)
A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners
by: Shi, Jingyi, et al.
Published: (2025)
by: Shi, Jingyi, et al.
Published: (2025)
MASKDROID: Robust Android Malware Detection with Masked Graph Representations
by: Zheng, Jingnan, et al.
Published: (2024)
by: Zheng, Jingnan, et al.
Published: (2024)
Out of Sight, Still at Risk: The Lifecycle of Transitive Vulnerabilities in Maven
by: Przymus, Piotr, et al.
Published: (2025)
by: Przymus, Piotr, et al.
Published: (2025)
Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing
by: Zheng, Xinran, et al.
Published: (2025)
by: Zheng, Xinran, et al.
Published: (2025)
Scheduzz: Constraint-based Fuzz Driver Generation with Dual Scheduling
by: Li, Yan, et al.
Published: (2025)
by: Li, Yan, et al.
Published: (2025)
Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG
by: Chen, Yufan, et al.
Published: (2025)
by: Chen, Yufan, et al.
Published: (2025)
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
by: He, Ping, et al.
Published: (2025)
by: He, Ping, et al.
Published: (2025)
Unveiling Security Weaknesses in Autonomous Driving Systems: An In-Depth Empirical Study
by: Cheng, Wenyuan, et al.
Published: (2025)
by: Cheng, Wenyuan, et al.
Published: (2025)
ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph
by: Wang, Yufeng, et al.
Published: (2025)
by: Wang, Yufeng, et al.
Published: (2025)
MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization
by: Lu, Haolang, et al.
Published: (2024)
by: Lu, Haolang, et al.
Published: (2024)
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
by: Zhou, Zhiping, et al.
Published: (2025)
by: Zhou, Zhiping, et al.
Published: (2025)
Learning to Generate Secure Code via Token-Level Rewards
by: Quan, Jiazheng, et al.
Published: (2026)
by: Quan, Jiazheng, et al.
Published: (2026)
Automatically Detecting Checked-In Secrets in Android Apps: How Far Are We?
by: Li, Kevin, et al.
Published: (2024)
by: Li, Kevin, et al.
Published: (2024)
Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
by: Qi, Weiliang, et al.
Published: (2024)
by: Qi, Weiliang, et al.
Published: (2024)
A Security Risk Assessment Method for Distributed Ledger Technology (DLT) based Applications: Three Industry Case Studies
by: Baninemeh, Elena, et al.
Published: (2024)
by: Baninemeh, Elena, et al.
Published: (2024)
Probing Privacy Leaks in LLM-based Code Generation via Test Generation
by: Ge, Yifei, et al.
Published: (2026)
by: Ge, Yifei, et al.
Published: (2026)
Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
by: Ruan, Bonan, et al.
Published: (2025)
by: Ruan, Bonan, et al.
Published: (2025)
Evaluating Large Language Models for Line-Level Vulnerability Localization
by: Zhang, Jian, et al.
Published: (2024)
by: Zhang, Jian, et al.
Published: (2024)
Similar Items
-
A Study of Malware Prevention in Linux Distributions
by: Vu, Duc-Ly, et al.
Published: (2024) -
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025) -
Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?
by: Li, Yikun, et al.
Published: (2025) -
A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
by: Tan, Kai, et al.
Published: (2025) -
MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)