Saved in:
| Main Author: | Syed Suhaila |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.15359726 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automated rice leaf disease detection using artificial intelligence deep learning
by: Suhaila, M. P., et al.
Published: (2025)
by: Suhaila, M. P., et al.
Published: (2025)
Comparison of fetal Doppler indices and growth in pregnancies with anterior or posterior placental position
by: Suhaila Fadhil Al-Shaikh
Published: (2020)
by: Suhaila Fadhil Al-Shaikh
Published: (2020)
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples (Extended Dataset)
by: Li, Adrian Shuai, et al.
Published: (2025)
by: Li, Adrian Shuai, et al.
Published: (2025)
AndMal2025: Behavioral Android Malware Analysis Dataset
by: Daniel Arp
Published: (2025)
by: Daniel Arp
Published: (2025)
Saliva Based Clozapine Therapeutic Drug Monitoring: A Systematic Review
by: Tessa Rademaker, et al.
Published: (2025)
by: Tessa Rademaker, et al.
Published: (2025)
EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers
by: Joyce, Robert J., et al.
Published: (2025)
by: Joyce, Robert J., et al.
Published: (2025)
RawMal-TF: Raw Malware Dataset Labeled by Type and Family
by: Bálik, David, et al.
Published: (2025)
by: Bálik, David, et al.
Published: (2025)
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
Advances in Side‐Chain Engineering of Triarylamine and Thienyl‐Based Hole Transport Materials for Perovskite Solar Cells
by: Puteri Intan Zulaikha Syed Mahadzir, et al.
Published: (2025)
by: Puteri Intan Zulaikha Syed Mahadzir, et al.
Published: (2025)
HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
by: Chen, Han, et al.
Published: (2025)
by: Chen, Han, et al.
Published: (2025)
Beyond the TESSERACT:Trustworthy Dataset Curation for Sound Evaluations of Android Malware Classifiers
by: Chow, Theo, et al.
Published: (2025)
by: Chow, Theo, et al.
Published: (2025)
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets
by: Robinette, Preston K., et al.
Published: (2024)
by: Robinette, Preston K., et al.
Published: (2024)
Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset
by: Fu, Annan, et al.
Published: (2026)
by: Fu, Annan, et al.
Published: (2026)
Building an Adversarial Malware Dataset by Family and Type: Generation, Evasion, and Poisoning Evaluation
by: Košťál, David, et al.
Published: (2026)
by: Košťál, David, et al.
Published: (2026)
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
MASCOT: Analyzing Malware Evolution Through A Well-Curated Source Code Dataset
by: Li, Bojing, et al.
Published: (2025)
by: Li, Bojing, et al.
Published: (2025)
Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification
by: Hossain, Jakir, et al.
Published: (2025)
by: Hossain, Jakir, et al.
Published: (2025)
TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification
by: Borah, Parthajit, et al.
Published: (2026)
by: Borah, Parthajit, et al.
Published: (2026)
MalwarePT: A Binary-Level Foundation Model for Malware Analysis
by: Vasan, Saastha, et al.
Published: (2026)
by: Vasan, Saastha, et al.
Published: (2026)
Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector
by: Wei, Xingyuan, et al.
Published: (2024)
by: Wei, Xingyuan, et al.
Published: (2024)
Enhancing Decision-Making in Windows PE Malware Classification During Dataset Shifts with Uncertainty Estimation
by: Yumlembam, Rahul, et al.
Published: (2025)
by: Yumlembam, Rahul, et al.
Published: (2025)
Binary-30K: A Heterogeneous Dataset for Deep Learning in Binary Analysis and Malware Detection
by: Bommarito II, Michael J.
Published: (2025)
by: Bommarito II, Michael J.
Published: (2025)
Effective and Efficient Android Malware Detection and Category Classification Using the Enhanced KronoDroid Dataset
by: Mudassar Waheed, et al.
Published: (2024)
by: Mudassar Waheed, et al.
Published: (2024)
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)
VaPR -- Vision-language Preference alignment for Reasoning
by: Wadhawan, Rohan, et al.
Published: (2025)
by: Wadhawan, Rohan, et al.
Published: (2025)
DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning
by: Karaman, Batuhan K., et al.
Published: (2026)
by: Karaman, Batuhan K., et al.
Published: (2026)
Evaluating Ensemble and Deep Learning Models for Static Malware Detection with Dimensionality Reduction Using the EMBER Dataset
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2025)
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2025)
MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification
by: Makkawy, Saleh J., et al.
Published: (2025)
by: Makkawy, Saleh J., et al.
Published: (2025)
Training Report on Malware and Ransomware
by: Perez Arias, Juan Pedro
Published: (2025)
by: Perez Arias, Juan Pedro
Published: (2025)
Multimodal Techniques for Malware Classification
by: Jiang, Jonathan, et al.
Published: (2025)
by: Jiang, Jonathan, et al.
Published: (2025)
The Malware as a Service ecosystem
by: Patsakis, Constantinos, et al.
Published: (2024)
by: Patsakis, Constantinos, et al.
Published: (2024)
XAI and Android Malware Models
by: Kulkarni, Maithili, et al.
Published: (2024)
by: Kulkarni, Maithili, et al.
Published: (2024)
Obfuscated Memory Malware Detection
by: P, Sharmila S, et al.
Published: (2024)
by: P, Sharmila S, et al.
Published: (2024)
Malware Analysis on AI Technique
by: Gupta, Amjani, et al.
Published: (2023)
by: Gupta, Amjani, et al.
Published: (2023)
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
by: Li, Adrian Shuai, et al.
Published: (2024)
by: Li, Adrian Shuai, et al.
Published: (2024)
Assessing the effectiveness of the adaptation learning model for dyslexic students' engagement: a quasi-experimental study
by: Siti Suhaila Abdul Hamid, et al.
Published: (2025)
by: Siti Suhaila Abdul Hamid, et al.
Published: (2025)
Comparison of Multiple Classifiers for Android Malware Detection with Emphasis on Feature Insights Using CICMalDroid 2020 Dataset
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2026)
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2026)
On the Consistency of GNN Explanations for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Malware Detection based on API calls
by: Fellicious, Christofer, et al.
Published: (2025)
by: Fellicious, Christofer, et al.
Published: (2025)
Quantum Computing Methods for Malware Detection
by: Krátká, Eliška, et al.
Published: (2025)
by: Krátká, Eliška, et al.
Published: (2025)
Similar Items
-
Automated rice leaf disease detection using artificial intelligence deep learning
by: Suhaila, M. P., et al.
Published: (2025) -
Comparison of fetal Doppler indices and growth in pregnancies with anterior or posterior placental position
by: Suhaila Fadhil Al-Shaikh
Published: (2020) -
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples (Extended Dataset)
by: Li, Adrian Shuai, et al.
Published: (2025) -
AndMal2025: Behavioral Android Malware Analysis Dataset
by: Daniel Arp
Published: (2025) -
Saliva Based Clozapine Therapeutic Drug Monitoring: A Systematic Review
by: Tessa Rademaker, et al.
Published: (2025)