Key papers

• Adversarial Machine Learning Attacks And Defense Methods In The Cyber Security Domain (2020)
  Ihai Rosenberg, Asaf Shabtai, Yuval Elovici, et al.
  17.66
• Collective Anomaly Detection Based On Long Short Term Memory Recurrent Neural Network (2017)
  Loic Bontemps, van Loi Cao, James McDermott, et al.
  16.90
• Adversary Resistant Deep Neural Networks With An Application To Malware Detection (2016)
  Qinglong Wang, Wenbo Guo, Kaixuan Zhang, et al.
  15.37
• Evaluation Of Adversarial Training On Different Types Of Neural Networks In Deep Learning-based Idss (2020)
  Rana Abou Khamis, Ashraf Matrawy
  12.54
• Enhancing Threat Detection Using Artificial Intelligence in Modern Cybersecurity Systems Using SPSS Statistics (2026)
  Rajendar Dommeti
  11.70
• Backdoor Attack With Sparse And Invisible Trigger (2023)
  Yinghua Gao, Yiming Li, Xueluan Gong, et al.
  11.58
• Let Graph Be The Go Board: Gradient-free Node Injection Attack For Graph Neural Networks Via Reinforcement Learning (2022)
  Mingxuan Ju, Yujie Fan, Chuxu Zhang, et al.
  11.58
• DNS Typo-squatting Domain Detection: A Data Analytics & Machine Learning Based Approach (2020)
  Abdallah Moubayed, Mohammadnoor Injadat, Abdallah Shami, et al.
  11.58
• Time-aware Gradient Attack On Dynamic Network Link Prediction (2019)
  Jinyin Chen, Jian Zhang, Zhi Chen, et al.
  11.08
• On Generalisability Of Machine Learning-based Network Intrusion Detection Systems (2022)
  Siamak Layeghy, Marius Portmann
  11.08
• Dos And Ddos Mitigation Using Variational Autoencoders (2021)
  Eirik Molde Bårli, Anis Yazidi, Enrique Herrera Viedma, et al.
  10.85
• Rethinking Graph Backdoor Attacks: A Distribution-preserving Perspective (2024)
  Zhiwei Zhang, Minhua Lin, Enyan Dai, et al.
  10.48
• Universal Detection Of Backdoor Attacks Via Density-based Clustering And Centroids Analysis (2023)
  Wei Guo, Benedetta Tondi, Mauro Barni
  10.35
• GANI: Global Attacks On Graph Neural Networks Via Imperceptible Node Injections (2022)
  Junyuan Fang, Haixian Wen, Jiajing Wu, et al.
  10.07
• Enhancing 6G-IoT Network Security: A Trustworthy and Responsible AI-Driven Stacked-Hybrid Model for Attack Detection (2026)
  Anshika Sharma et al.
  10.04
• ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks? (2026)
  Zhun Wang et al.
  9.84
• Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review (2025)
  Saeid Jamshidi et al.
  9.48
• Recent Advancements In Machine Learning For Cybercrime Prediction (2023)
  Lavanya Elluri, Varun Mandalapu, Piyush Vyas, et al.
  9.41
• Illuminati: Towards Explaining Graph Neural Networks For Cybersecurity Analysis (2023)
  Haoyu He, Yuede Ji, H. Howie Huang
  9.41
• CLEANN: Accelerated Trojan Shield For Embedded Neural Networks (2020)
  Mojan Javaheripi, Mohammad Samragh, Gregory Fields, et al.
  9.41
• A Robust Adversary Detection-deactivation Method For Metaverse-oriented Collaborative Deep Learning (2023)
  Pengfei Li, Zhibo Zhang, Ameena S. Al-Sumaiti, et al.
  9.03
• Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks (2026)
  MD Azizul Hakim et al.
  8.86
• Backdooring Neural Code Search (2023)
  Weisong Sun, Yuchen Chen, Guanhong Tao, et al.
  8.82
• Adiotack: Quantifying And Refining Resilience Of Decision Tree Ensemble Inference Models Against Adversarial Volumetric Attacks On Iot Networks (2022)
  Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili
  8.60
• Quarantine: Sparsity Can Uncover The Trojan Attack Trigger For Free (2022)
  Tianlong Chen, Zhenyu Zhang, Yihua Zhang, et al.
  8.35
• Link-backdoor: Backdoor Attack On Link Prediction Via Node Injection (2022)
  Haibin Zheng, Haiyang Xiong, Haonan Ma, et al.
  8.35
• Network Intrusion Datasets: A Survey, Limitations, and Recommendations (2025)
  Patrik Goldschmidt et al.
  8.07
• Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models (2025)
  Ahmed Bensaoud and Jugal Kalita
  7.84
• On Security And Sparsity Of Linear Classifiers For Adversarial Settings (2017)
  Ambra Demontis, Paolo Russu, Battista Biggio, et al.
  7.81
• Anomaly-based intrusion detection on benchmark datasets for network security: a comprehensive evaluation (2026)
  L. Kumar et al.
  7.78
• Agent Security is a Systems Problem (2026)
  Mihai Christodorescu and Earlence Fernandes and Ashish Hooda and Somesh Jha and Johann Rehberger and Kamalika Chaudhuri and Xiaohan Fu and Khawaja Shams and Guy Amir and Jihye Choi and Sarthak Choudhary and Nils Palumbo and Andrey Labunets and Nishit V. Pandya
  7.71
• Shortcuts Everywhere And Nowhere: Exploring Multi-trigger Backdoor Attacks (2024)
  Yige Li, Jiabo He, Hanxun Huang, et al.
  7.70
• From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories (2025)
  Ye Tian et al.
  7.55
• A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT (2025)
  Mohammad Shamim Ahsan et al.
  7.36
• Security Concerns for Large Language Models: A Survey (2025)
  Miles Q. Li and Benjamin C. M. Fung
  7.13
• Topological Safeguard For Evasion Attack Interpreting The Neural Networks' Behavior (2024)
  Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Iñigo Mendialdua, et al.
  6.77
• A Dynamic-adversarial Mining Approach To The Security Of Machine Learning (2018)
  Tegjyot Singh Sethi, Mehmed Kantardzic, Lingyu Lyua, et al.
  6.77
• CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network For Network Intrusion Detection (2025)
  Md Abrar Jahin, Shahriar Soudeep, Fahmid Al Farid, et al.
  6.58
• Aspis: Robust Detection For Distributed Learning (2021)
  Konstantinos Konstantinidis, Aditya Ramamoorthy
  6.34
• Detection And Mitigation Of Byzantine Attacks In Distributed Training (2022)
  Konstantinos Konstantinidis, Namrata Vaswani, Aditya Ramamoorthy
  6.34
• FDI: Attack Neural Code Generation Systems Through User Feedback Channel (2024)
  Zhensu Sun, Xiaoning Du, Xiapu Luo, et al.
  6.34
• Sparse Vicious Attacks On Graph Neural Networks (2022)
  Giovanni Trappolini, Valentino Maiorca, Silvio Severino, et al.
  6.34
• A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles (2025)
  Md Ashraf Uddin et al.
  6.28
• Large Language Models Powered Malicious Traffic Detection: Architecture, Opportunities And Case Study (2025)
  Xinggong Zhang, Haotian Meng, Qingyang Li, et al.
  6.07
• Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network (2025)
  Zihao Wang et al.
  5.96
• Leveraging Large Language Models for Cybersecurity: Enhancing SMS Spam Detection with Robust and Context-Aware Text Classification (2025)
  Mohsen Ahmadi et al.
  5.84
• CodeGraph- Malware Detection via Control Flow Graph Embeddings and Graph Neural Networks (2026)
  Chandrashekhar Medicherla et al.
  5.52
• Attention-enhanced BiLSTM-ANN framework with CNN-based feature selection for advanced threat detection (2026)
  Mohammed Tayebi et al.
  5.52
• Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation (2025)
  Jenifer Paulraj et al.
  5.46
• eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models (2025)
  Paul R. B. Houssel et al.
  5.46
• DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks (2025)
  Jing Chen et al.
  5.29
• Backdoorbench: A Comprehensive Benchmark And Analysis Of Backdoor Learning (2024)
  Baoyuan Wu, Hongrui Chen, Mingda Zhang, et al.
  5.24
• A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks (2025)
  Safaa Menssouri et al.
  5.18
• Generative AI and Federated Learning for Intrusion Detection Systems: A Survey (2026)
  Jiefei Liu et al.
  5.01
• Beyond Gradient-Based Attacks: Adversarial Robustness and Explainability Stability in Cybersecurity Classifiers (2026)
  Mona Rajhans et al.
  5.01
• When Routes Run Out: Adversarial Co-Learning and Explainable Robustness in Quantum Repeater Networks (2026)
  Brennan Bell et al.
  5.01
• Impact of Benign Connectivity Variations on Intrusion Detection for Encrypted OPC UA Traffic in Industrial Private 5G Networks (2026)
  Song Son Ha et al.
  5.01
• A Queueing-Stability Criterion for Causal IPD-QIM Network Flow Watermarking (2026)
  Jiuxiang Cao et al.
  5.01
• Protocol-Level Attacks on Agentic Commerce Platforms: A Cross-Platform Taxonomy, AIP-Bench, and Unified Defense (2026)
  Yedidel Louck
  5.01
• ToolGuardian: Declarative Security for AI Agent-Tool Interactions (2026)
  Arun Ravindran et al.
  5.01