ByteShield: Adversarially Robust End-to-End Malware Detection through Byte Masking
Fuente:
arXiv
Saved in:
| Main Authors: | Gibert, Daniel, Manyà, Felip |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
by: Pulido-Cortázar, Daniel, et al.
Published: (2025)
by: Pulido-Cortázar, Daniel, et al.
Published: (2025)
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
by: Gibert, Daniel
Published: (2024)
by: Gibert, Daniel
Published: (2024)
RoMA: Robust Malware Attribution via Byte-level Adversarial Training with Global Perturbations and Adversarial Consistency Regularization
by: Sun, Yuxia, et al.
Published: (2025)
by: Sun, Yuxia, et al.
Published: (2025)
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing
by: Gibert, Daniel, et al.
Published: (2024)
by: Gibert, Daniel, et al.
Published: (2024)
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing
by: Gibert, Daniel, et al.
Published: (2024)
by: Gibert, Daniel, et al.
Published: (2024)
Adversarially Robust and Interpretable Magecart Malware Detection
by: Pereira, Pedro, et al.
Published: (2025)
by: Pereira, Pedro, et al.
Published: (2025)
Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing
by: Gibert, Daniel, et al.
Published: (2023)
by: Gibert, Daniel, et al.
Published: (2023)
Byte by Byte: Unmasking Browser Fingerprinting at the Function Level Using V8 Bytecode Transformers
by: Bahrami, Pouneh Nikkhah, et al.
Published: (2025)
by: Bahrami, Pouneh Nikkhah, et al.
Published: (2025)
Cryptic Bytes: WebAssembly Obfuscation for Evading Cryptojacking Detection
by: Harnes, Håkon, et al.
Published: (2024)
by: Harnes, Håkon, et al.
Published: (2024)
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
by: Gibert, Daniel, et al.
Published: (2022)
by: Gibert, Daniel, et al.
Published: (2022)
Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora
by: Raff, Edward, et al.
Published: (2025)
by: Raff, Edward, et al.
Published: (2025)
Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
by: Gibert, Daniel, et al.
Published: (2024)
by: Gibert, Daniel, et al.
Published: (2024)
Positional-Unigram Byte Models for Generalized TLS Fingerprinting
by: Valdez, Hector A., et al.
Published: (2024)
by: Valdez, Hector A., et al.
Published: (2024)
NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE
by: Li, Mingkai, et al.
Published: (2025)
by: Li, Mingkai, et al.
Published: (2025)
Byte-level Object Bounds Protection
by: Kedia, Piyus
Published: (2026)
by: Kedia, Piyus
Published: (2026)
On the Robustness of Malware Detectors to Adversarial Samples
by: Salman, Muhammad, et al.
Published: (2024)
by: Salman, Muhammad, et al.
Published: (2024)
A Novel Byte-Level Flow-to-Image Encoding Method for Network Intrusion Detection Systems
by: Mu, Ziyu, et al.
Published: (2026)
by: Mu, Ziyu, et al.
Published: (2026)
MASKDROID: Robust Android Malware Detection with Masked Graph Representations
by: Zheng, Jingnan, et al.
Published: (2024)
by: Zheng, Jingnan, et al.
Published: (2024)
Bayesian Learned Models Can Detect Adversarial Malware For Free
by: Doan, Bao Gia, et al.
Published: (2024)
by: Doan, Bao Gia, et al.
Published: (2024)
ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection
by: Khan, Irfan, et al.
Published: (2023)
by: Khan, Irfan, et al.
Published: (2023)
Hydra: Robust Hardware-Assisted Malware Detection
by: Propp, Eli, et al.
Published: (2026)
by: Propp, Eli, et al.
Published: (2026)
AndroByte: LLM-Driven Privacy Analysis through Bytecode Summarization and Dynamic Dataflow Call Graph Generation
by: Khatun, Mst Eshita, et al.
Published: (2025)
by: Khatun, Mst Eshita, et al.
Published: (2025)
Evaluating the Robustness of a Production Malware Detection System to Transferable Adversarial Attacks
by: Nasr, Milad, et al.
Published: (2025)
by: Nasr, Milad, et al.
Published: (2025)
End-to-End Multi-Tab Website Fingerprinting Attack: A Detection Perspective
by: Chen, Mantun, et al.
Published: (2022)
by: Chen, Mantun, et al.
Published: (2022)
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
by: Kozak, Matous, et al.
Published: (2024)
by: Kozak, Matous, et al.
Published: (2024)
SoK: Web Authentication in the Age of End-to-End Encryption
by: Blessing, Jenny, et al.
Published: (2024)
by: Blessing, Jenny, et al.
Published: (2024)
Canonical Byte-String Encoding for Finite-Ring Cryptosystems
by: Riabov, Kyrylo, et al.
Published: (2026)
by: Riabov, Kyrylo, et al.
Published: (2026)
Adversarial Patterns: Building Robust Android Malware Classifiers
by: Bhusal, Dipkamal, et al.
Published: (2022)
by: Bhusal, Dipkamal, et al.
Published: (2022)
Bytes to Schlep? Use a FEP: Hiding Protocol Metadata with Fully Encrypted Protocols
by: Fenske, Ellis, et al.
Published: (2024)
by: Fenske, Ellis, et al.
Published: (2024)
On the Effectiveness of Adversarial Training on Malware Classifiers
by: Bostani, Hamid, et al.
Published: (2024)
by: Bostani, Hamid, et al.
Published: (2024)
A Comparison of Adversarial Learning Techniques for Malware Detection
by: Louthánová, Pavla, et al.
Published: (2023)
by: Louthánová, Pavla, et al.
Published: (2023)
On Implementing Hybrid Post-Quantum End-to-End Encryption
by: Gandhi, Aditi, et al.
Published: (2026)
by: Gandhi, Aditi, et al.
Published: (2026)
Injection Attacks Against End-to-End Encrypted Applications
by: Fábrega, Andrés, et al.
Published: (2024)
by: Fábrega, Andrés, et al.
Published: (2024)
The Road Less Traveled: Investigating Robustness and Explainability in CNN Malware Detection
by: Brosolo, Matteo, et al.
Published: (2025)
by: Brosolo, Matteo, et al.
Published: (2025)
Explainability Guided Adversarial Evasion Attacks on Malware Detectors
by: Aryal, Kshitiz, et al.
Published: (2024)
by: Aryal, Kshitiz, et al.
Published: (2024)
PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation
by: Li, Zhijun, et al.
Published: (2026)
by: Li, Zhijun, et al.
Published: (2026)
Session: End-To-End Encrypted Conversations With Minimal Metadata Leakage
by: Jefferys, Kee, et al.
Published: (2020)
by: Jefferys, Kee, et al.
Published: (2020)
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations
by: Bostani, Hamid, et al.
Published: (2024)
by: Bostani, Hamid, et al.
Published: (2024)
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
by: Brosolo, Matteo, et al.
Published: (2025)
by: Brosolo, Matteo, et al.
Published: (2025)
Enhancing JavaScript Malware Detection through Weighted Behavioral DFAs
by: Pereira, Pedro, et al.
Published: (2025)
by: Pereira, Pedro, et al.
Published: (2025)
Similar Items
-
DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
by: Pulido-Cortázar, Daniel, et al.
Published: (2025) -
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
by: Gibert, Daniel
Published: (2024) -
RoMA: Robust Malware Attribution via Byte-level Adversarial Training with Global Perturbations and Adversarial Consistency Regularization
by: Sun, Yuxia, et al.
Published: (2025) -
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing
by: Gibert, Daniel, et al.
Published: (2024) -
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing
by: Gibert, Daniel, et al.
Published: (2024)