Copertina

Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Robinette, Preston K., Lopez, Diego Manzanas, Serbinowska, Serena, Leach, Kevin, Johnson, Taylor T.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Trigger-Based Fragile Model Watermarking for Image Transformation Networks
di: Robinette, Preston K., et al.
Pubblicazione: (2024)

Sanitizing Hidden Information with Diffusion Models
di: Robinette, Preston K., et al.
Pubblicazione: (2023)

Blind Visible Watermark Removal with Morphological Dilation
di: Robinette, Preston K., et al.
Pubblicazione: (2025)

PBP: Post-training Backdoor Purification for Malware Classifiers
di: Nguyen, Dung Thuy, et al.
Pubblicazione: (2024)

Enhancing Android Malware Detection with Retrieval-Augmented Generation
di: S., Saraga, et al.
Pubblicazione: (2025)

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
di: Li, Jiliang, et al.
Pubblicazione: (2024)

Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
di: Gibert, Daniel, et al.
Pubblicazione: (2022)

Deep Learning Fusion For Effective Malware Detection: Leveraging Visual Features
di: Johny, Jahez Abraham, et al.
Pubblicazione: (2024)

Formalizing Stateful Behavior Trees
di: Serbinowska, Serena S., et al.
Pubblicazione: (2024)

Security through the Eyes of AI: How Visualization is Shaping Malware Detection
di: Brosolo, Matteo, et al.
Pubblicazione: (2025)

Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks
di: Higgins, Griffin, et al.
Pubblicazione: (2026)

Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
di: Giri, Nandakrishna, et al.
Pubblicazione: (2026)

Packed Malware Detection Using Grayscale Binary-to-Image Representations
di: Alkhateeb, Ehab, et al.
Pubblicazione: (2025)

LOGSAFE: Logic-Guided Verification for Trustworthy Federated Time-Series Learning
di: Nguyen, Dung Thuy, et al.
Pubblicazione: (2024)

Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
di: Shokouhinejad, Hossein, et al.
Pubblicazione: (2025)

A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation
di: Shokouhinejad, Hossein, et al.
Pubblicazione: (2025)

Trident: Improving Malware Detection with LLMs and Behavioral Features
di: Saul, Rebecca, et al.
Pubblicazione: (2026)

Malware Detection based on API Calls: A Reproducibility Study
di: Merilehto, Juhani
Pubblicazione: (2026)

PotentRegion4MalDetect: Advanced Features from Potential Malicious Regions for Malware Detection
di: Koppanati, Rama Krishna, et al.
Pubblicazione: (2025)

Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
di: Le, Tan, et al.
Pubblicazione: (2025)

TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification
di: Borah, Parthajit, et al.
Pubblicazione: (2026)

LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection
di: Gill, Naveen, et al.
Pubblicazione: (2026)

Comparison of Multiple Classifiers for Android Malware Detection with Emphasis on Feature Insights Using CICMalDroid 2020 Dataset
di: Abedin, Md Min-Ha-Zul, et al.
Pubblicazione: (2026)

Assessing Cyclostationary Malware Detection via Feature Selection and Classification
di: Nkongolo, Mike
Pubblicazione: (2023)

Efficient Malware Detection with Optimized Learning on High-Dimensional Features
di: Choudhary, Aditya, et al.
Pubblicazione: (2025)

Malware Detection based on API calls
di: Fellicious, Christofer, et al.
Pubblicazione: (2025)

Malware Classification Based on Image Segmentation
di: Nie, Wanhu
Pubblicazione: (2024)

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020
di: Duarte, Diego Ferreira, et al.
Pubblicazione: (2026)

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification
di: Makkawy, Saleh J., et al.
Pubblicazione: (2025)

AndroWasm: an Empirical Study on Android Malware Obfuscation through WebAssembly
di: Soi, Diego, et al.
Pubblicazione: (2026)

NeuPerm: Disrupting Malware Hidden in Neural Network Parameters by Leveraging Permutation Symmetry
di: Gilkarov, Daniel, et al.
Pubblicazione: (2025)

Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
di: Li, Adrian Shuai, et al.
Pubblicazione: (2024)

A Human Study of Cognitive Biases in Web Application Security
di: Yang, Yuwei, et al.
Pubblicazione: (2025)

Demystifying Feature Engineering in Malware Analysis of API Call Sequences
di: Qu, Tianheng, et al.
Pubblicazione: (2025)

Feature-Centric Approaches to Android Malware Analysis: A Survey
di: Maganur, Shama, et al.
Pubblicazione: (2025)

Deep Learning Models for Detecting Malware Attacks
di: Maniriho, Pascal, et al.
Pubblicazione: (2022)

Adversarially Robust and Interpretable Magecart Malware Detection
di: Pereira, Pedro, et al.
Pubblicazione: (2025)

Hydra: Robust Hardware-Assisted Malware Detection
di: Propp, Eli, et al.
Pubblicazione: (2026)

MADEA: A Malware Detection Architecture for IoT blending Network Monitoring and Device Attestation
di: Prapty, Renascence Tarafder, et al.
Pubblicazione: (2025)

Optimal Control of Malware Propagation in IoT Networks
di: Jafar, Mousa Tayseer, et al.
Pubblicazione: (2024)