Explainability Guided Adversarial Evasion Attacks on Malware Detectors
Fuente:
arXiv
Saved in:
| Main Authors: | Aryal, Kshitiz, Gupta, Maanak, Abdelsalam, Mahmoud, Saleh, Moustafa |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File
by: Aryal, Kshitiz, et al.
Published: (2024)
by: Aryal, Kshitiz, et al.
Published: (2024)
Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
by: Wheeler, Andrew, et al.
Published: (2026)
by: Wheeler, Andrew, et al.
Published: (2026)
Explainability-Informed Targeted Malware Misclassification
by: Card, Quincy, et al.
Published: (2024)
by: Card, Quincy, et al.
Published: (2024)
SoK: Leveraging Transformers for Malware Analysis
by: Kunwar, Pradip, et al.
Published: (2024)
by: Kunwar, Pradip, et al.
Published: (2024)
RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)
by: Ikbarieh, Seif, et al.
Published: (2025)
Explainable Deep Learning Models for Dynamic and Online Malware Classification
by: Card, Quincy, et al.
Published: (2024)
by: Card, Quincy, et al.
Published: (2024)
Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges
by: Manthena, Harikha, et al.
Published: (2024)
by: Manthena, Harikha, et al.
Published: (2024)
A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-case Prototypes
by: Lazer, Sahaya Jestus, et al.
Published: (2026)
by: Lazer, Sahaya Jestus, et al.
Published: (2026)
Safety and Security Analysis of Large Language Models: Benchmarking Risk Profile and Harm Potential
by: Akiri, Charankumar, et al.
Published: (2025)
by: Akiri, Charankumar, et al.
Published: (2025)
Effectiveness of Adversarial Benign and Malware Examples in Evasion and Poisoning Attacks
by: Kozák, Matouš, et al.
Published: (2025)
by: Kozák, Matouš, et al.
Published: (2025)
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
by: Praharaj, Lopamudra, et al.
Published: (2024)
by: Praharaj, Lopamudra, et al.
Published: (2024)
Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges
by: Darwish, Rami, et al.
Published: (2024)
by: Darwish, Rami, et al.
Published: (2024)
Adversarial Attacks on Transformers-Based Malware Detectors
by: Jakhotiya, Yash, et al.
Published: (2022)
by: Jakhotiya, Yash, et al.
Published: (2022)
ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks
by: Elnawawy, Mohammed, et al.
Published: (2026)
by: Elnawawy, Mohammed, et al.
Published: (2026)
LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors
by: Lan, Tianwei, et al.
Published: (2025)
by: Lan, Tianwei, et al.
Published: (2025)
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
by: Zhang, Hangsheng, et al.
Published: (2024)
by: Zhang, Hangsheng, et al.
Published: (2024)
On the Robustness of Malware Detectors to Adversarial Samples
by: Salman, Muhammad, et al.
Published: (2024)
by: Salman, Muhammad, et al.
Published: (2024)
LLM-based Multi-class Attack Analysis and Mitigation Framework in IoT/IIoT Networks
by: Ikbarieh, Seif, et al.
Published: (2025)
by: Ikbarieh, Seif, et al.
Published: (2025)
Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
by: Giri, Nandakrishna, et al.
Published: (2026)
by: Giri, Nandakrishna, et al.
Published: (2026)
Learning to Look Benign: Targeted Evasion of Malware Detectors via API Import Injection
by: Dautartas, Juozas, et al.
Published: (2026)
by: Dautartas, Juozas, et al.
Published: (2026)
FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning
by: Darwish, Rami, et al.
Published: (2025)
by: Darwish, Rami, et al.
Published: (2025)
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)
Specification and Enforcement of Activity Dependency Policies using XACML
by: Mawla, Tanjila, et al.
Published: (2024)
by: Mawla, Tanjila, et al.
Published: (2024)
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)
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
by: Kang, Mintong, et al.
Published: (2023)
by: Kang, Mintong, et al.
Published: (2023)
Bridging Cloud Convenience and Protocol Transparency: A Hybrid Architecture for Ethereum Node Operations on Amazon Managed Blockchain
by: Hossain, S M Mostaq, et al.
Published: (2025)
by: Hossain, S M Mostaq, et al.
Published: (2025)
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
by: Zhou, Yuyang, et al.
Published: (2023)
by: Zhou, Yuyang, et al.
Published: (2023)
Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations
by: Acharya, Pawan, et al.
Published: (2026)
by: Acharya, Pawan, et al.
Published: (2026)
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
by: Domico, Kyle, et al.
Published: (2025)
by: Domico, Kyle, et al.
Published: (2025)
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection
by: Bostani, Hamid, et al.
Published: (2021)
by: Bostani, Hamid, et al.
Published: (2021)
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)
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)
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
by: Kunwar, Pradip, et al.
Published: (2026)
by: Kunwar, Pradip, et al.
Published: (2026)
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management
by: Balakrishnan, Ravikumar, et al.
Published: (2024)
by: Balakrishnan, Ravikumar, et al.
Published: (2024)
Evasion of IoT Malware Detection via Dummy Code Injection
by: Zargarzadeh, Sahar, et al.
Published: (2026)
by: Zargarzadeh, Sahar, et al.
Published: (2026)
A Large Language Model Approach to Generating Bypass Rules for Malware Evasion in Analysis Sandbox
by: Sui, Zhiyong, et al.
Published: (2026)
by: Sui, Zhiyong, et al.
Published: (2026)
An Explainable Memory Forensics Approach for Malware Analysis
by: Sanna, Silvia Lucia, et al.
Published: (2026)
by: Sanna, Silvia Lucia, et al.
Published: (2026)
Tarallo: Evading Behavioral Malware Detectors in the Problem Space
by: Digregorio, Gabriele, et al.
Published: (2025)
by: Digregorio, Gabriele, et al.
Published: (2025)
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
by: Ranganath, Suraj, et al.
Published: (2026)
by: Ranganath, Suraj, et al.
Published: (2026)
Can Drift-Adaptive Malware Detectors Be Made Robust? Attacks and Defenses Under White-Box and Black-Box Threats
by: Li, Adrian Shuai, et al.
Published: (2026)
by: Li, Adrian Shuai, et al.
Published: (2026)
Similar Items
-
Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File
by: Aryal, Kshitiz, et al.
Published: (2024) -
Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
by: Wheeler, Andrew, et al.
Published: (2026) -
Explainability-Informed Targeted Malware Misclassification
by: Card, Quincy, et al.
Published: (2024) -
SoK: Leveraging Transformers for Malware Analysis
by: Kunwar, Pradip, et al.
Published: (2024) -
RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)