Attackers Strike Back? Not Anymore -- An Ensemble of RL Defenders Awakens for APT Detection
Fuente:
arXiv
Guardado en:
| Autores principales: | Benabderrahmane, Sidahmed, Rahwan, Talal |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
From One Attack Domain to Another: Contrastive Transfer Learning with Siamese Networks for APT Detection
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2026)
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2026)
RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
por: Tauhid, Asif, et al.
Publicado: (2026)
por: Tauhid, Asif, et al.
Publicado: (2026)
APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2024)
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2024)
Metric Matters: A Formal Evaluation of Similarity Measures in Active Learning for Cyber Threat Intelligence
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)
Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors
por: Yang, Fan, et al.
Publicado: (2026)
por: Yang, Fan, et al.
Publicado: (2026)
BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
por: Zhang, Andy K., et al.
Publicado: (2025)
por: Zhang, Andy K., et al.
Publicado: (2025)
The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
por: Gunjan, et al.
Publicado: (2026)
por: Gunjan, et al.
Publicado: (2026)
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
por: Basnet, Animesh Singh, et al.
Publicado: (2024)
por: Basnet, Animesh Singh, et al.
Publicado: (2024)
DeepStage: Learning Autonomous Defense Policies Against Multi-Stage APT Campaigns
por: Phan, Trung V., et al.
Publicado: (2026)
por: Phan, Trung V., et al.
Publicado: (2026)
Real Talk, Virtual Faces: Symbolic-Semantic Discourse Geometry of Virtual and Human Influencer Audiences
por: Chaudhry, Shahram, et al.
Publicado: (2026)
por: Chaudhry, Shahram, et al.
Publicado: (2026)
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models
por: Li, Ding, et al.
Publicado: (2024)
por: Li, Ding, et al.
Publicado: (2024)
Uplifted Attackers, Human Defenders: The Cyber Offense-Defense Balance for Trailing-Edge Organizations
por: Murphy, Benjamin, et al.
Publicado: (2025)
por: Murphy, Benjamin, et al.
Publicado: (2025)
Your Agent Can Defend Itself against Backdoor Attacks
por: Changjiang, Li, et al.
Publicado: (2025)
por: Changjiang, Li, et al.
Publicado: (2025)
Efficient but Vulnerable: Benchmarking and Defending LLM Batch Prompting Attack
por: Yue, Murong, et al.
Publicado: (2025)
por: Yue, Murong, et al.
Publicado: (2025)
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
por: Casper, Stephen, et al.
Publicado: (2024)
por: Casper, Stephen, et al.
Publicado: (2024)
Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games
por: Malloy, Tailia, et al.
Publicado: (2023)
por: Malloy, Tailia, et al.
Publicado: (2023)
Defending the Edge: Representative-Attention Defense against Backdoor Attacks in Federated Learning
por: Obioma, Chibueze Peace, et al.
Publicado: (2025)
por: Obioma, Chibueze Peace, et al.
Publicado: (2025)
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search
por: Hammar, Kim, et al.
Publicado: (2024)
por: Hammar, Kim, et al.
Publicado: (2024)
Demystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput
por: Pesoli, Alfredo, et al.
Publicado: (2026)
por: Pesoli, Alfredo, et al.
Publicado: (2026)
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
por: De Gaspari, Fabio, et al.
Publicado: (2024)
por: De Gaspari, Fabio, et al.
Publicado: (2024)
KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs
por: Liang, Buyun, et al.
Publicado: (2025)
por: Liang, Buyun, et al.
Publicado: (2025)
A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids
por: Yuan, Xun, et al.
Publicado: (2023)
por: Yuan, Xun, et al.
Publicado: (2023)
Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks
por: Halloran, John T., et al.
Publicado: (2026)
por: Halloran, John T., et al.
Publicado: (2026)
SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection
por: Chen, Shuhao, et al.
Publicado: (2026)
por: Chen, Shuhao, et al.
Publicado: (2026)
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection Systems
por: Bibers, Ismail, et al.
Publicado: (2024)
por: Bibers, Ismail, et al.
Publicado: (2024)
Less is more? Rewards in RL for Cyber Defence
por: Bates, Elizabeth, et al.
Publicado: (2025)
por: Bates, Elizabeth, et al.
Publicado: (2025)
A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems
por: Abdeljaber, Hikmat A. M., et al.
Publicado: (2025)
por: Abdeljaber, Hikmat A. M., et al.
Publicado: (2025)
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
por: He, Ping, et al.
Publicado: (2025)
por: He, Ping, et al.
Publicado: (2025)
RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
por: Shi, Zhan, et al.
Publicado: (2025)
por: Shi, Zhan, et al.
Publicado: (2025)
Training RL Agents for Multi-Objective Network Defense Tasks
por: Molina-Markham, Andres, et al.
Publicado: (2025)
por: Molina-Markham, Andres, et al.
Publicado: (2025)
LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage
por: Nie, Yuzhou, et al.
Publicado: (2024)
por: Nie, Yuzhou, et al.
Publicado: (2024)
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
por: Zhang, Hangsheng, et al.
Publicado: (2024)
por: Zhang, Hangsheng, et al.
Publicado: (2024)
OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
por: Aly, Ahmed, et al.
Publicado: (2025)
por: Aly, Ahmed, et al.
Publicado: (2025)
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
por: Ranganath, Suraj, et al.
Publicado: (2026)
por: Ranganath, Suraj, et al.
Publicado: (2026)
HSF: Defending against Jailbreak Attacks with Hidden State Filtering
por: Qian, Cheng, et al.
Publicado: (2024)
por: Qian, Cheng, et al.
Publicado: (2024)
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
por: Chen, Xiaolin, et al.
Publicado: (2021)
por: Chen, Xiaolin, et al.
Publicado: (2021)
Ejemplares similares
-
From One Attack Domain to Another: Contrastive Transfer Learning with Siamese Networks for APT Detection
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025) -
Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025) -
Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025) -
Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2026) -
RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
por: Tauhid, Asif, et al.
Publicado: (2026)