Key papers

• Bayesian Optimization With Machine Learning Algorithms Towards Anomaly Detection (2020)
  Mohammadnoor Injadat, Fadi Salo, Ali Bou Nassif, et al.
  15.67
• An Empirical Study Of Deep Learning Models For Vulnerability Detection (2022)
  Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, et al.
  15.13
• Enhancing Threat Detection Using Artificial Intelligence in Modern Cybersecurity Systems Using SPSS Statistics (2026)
  Rajendar Dommeti
  11.70
• Poisonprompt: Backdoor Attack On Prompt-based Large Language Models (2023)
  Hongwei Yao, Jian Lou, Zhan Qin
  11.19
• ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks? (2026)
  Zhun Wang et al.
  9.84
• Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey (2025)
  Wencheng Yang et al.
  9.50
• Backdooring Neural Code Search (2023)
  Weisong Sun, Yuchen Chen, Guanhong Tao, et al.
  8.82
• HARC: Coupling Harmfulness and Refusal Directions for Robust Safety Alignment (2026)
  Shei Pern Chua et al.
  7.37
• A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT (2025)
  Mohammad Shamim Ahsan et al.
  7.36
• MANDERA: Malicious Node Detection in Federated Learning via Ranking (2021)
  Wanchuang Zhu et al.
  7.16
• Security Concerns for Large Language Models: A Survey (2025)
  Miles Q. Li and Benjamin C. M. Fung
  7.13
• BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection (2025)
  Shams Tarek et al.
  6.53
• GenXSS: an AI-Driven Framework for Automated Detection of XSS Attacks in WAFs (2025)
  Vahid Babaey and Arun Ravindran
  6.47
• Vulscriber: Exploring Rag-based Vulnerability Augmentation With Llms (2024)
  Seyed Shayan Daneshvar, Yu Nong, Xu Yang, et al.
  6.34
• Mitigating Adversarial Vulnerability Through Causal Parameter Estimation By Adversarial Double Machine Learning (2023)
  Byung-Kwan Lee, Junho Kim, Yong Man Ro
  6.34
• Large Language Models For In-file Vulnerability Localization Can Be "lost In The End" (2025)
  Francesco Sovrano, Adam Bauer, Alberto Bacchelli
  6.34
• FDI: Attack Neural Code Generation Systems Through User Feedback Channel (2024)
  Zhensu Sun, Xiaoning Du, Xiapu Luo, et al.
  6.34
• A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles (2025)
  Md Ashraf Uddin et al.
  6.28
• Securing RAG: A Risk Assessment and Mitigation Framework (2025)
  Lukas Ammann et al.
  6.01
• Automatically Generating Rules Of Malicious Software Packages Via Large Language Model (2025)
  Xiangrui Zhang, Haoyu Chen, Yongzhong He, et al.
  5.76
• AI Agents Enable Adaptive Computer Worms (2026)
  Jonas Guan et al.
  5.52
• STS-AT: A Structured Tensor Flow Adversarial Training Framework for Robust Intrusion Detection (2026)
  Juntong Zhu et al.
  5.52
• A Sample-Based, Multistage Machine Learning Pipeline for Scalable IoT Threat Detection (2026)
  Marcelo V. C. Aragão et al.
  5.52
• Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation (2025)
  Jenifer Paulraj et al.
  5.46
• Boosting Vulnerability Detection Of Llms Via Curriculum Preference Optimization With Synthetic Reasoning Data (2025)
  Xin-Cheng Wen, Yijun Yang, Cuiyun Gao, et al.
  5.38
• Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data (2025)
  Wenjie Liu and Panos Papadimitratos
  5.35
• Toward Malicious Clients Detection in Federated Learning (2025)
  Zhihao Dou et al.
  5.35
• Enhancing JavaScript Malware Detection through Weighted Behavioral DFAs (2025)
  Pedro Pereira et al.
  5.35
• Leveraging LLM to Strengthen ML-Based Cross-Site Scripting Detection (2025)
  Dennis Miczek et al.
  5.29
• Evaluating LLaMA 3.2 for Software Vulnerability Detection (2025)
  Jos\'e Gon\c{c}alves et al.
  5.24
• Backdoorbench: A Comprehensive Benchmark And Analysis Of Backdoor Learning (2024)
  Baoyuan Wu, Hongrui Chen, Mingda Zhang, et al.
  5.24
• Large Language Models for Power System Security: A Novel Multi-Modal Approach for Anomaly Detection in Energy Management Systems (2025)
  Aydin Zaboli et al.
  5.10
• SoK: Attack and Defense Landscape of Mobile On-device AI Systems (2026)
  Yujin Huang et al.
  5.01
• Embedding Inference Attack (2026)
  Cedric Fitiavana Raelijohn et al.
  5.01
• Chameleon: Recovering Cyber-Physical Systems from Memory Corruption Attacks via ML Surrogates (2026)
  Mohsen Salehi et al.
  5.01
• Overthink-Triggered Slowdown Attacks on LVLM-Based Robotic Systems (2026)
  Qiang Han et al.
  5.01
• Beyond Gradient-Based Attacks: Adversarial Robustness and Explainability Stability in Cybersecurity Classifiers (2026)
  Mona Rajhans et al.
  5.01
• Pmeta-TLA: Backdoor Attacks for Speech Classification Models via Meta-Learning with Timbre Leakage Attack (2026)
  Yueming Huang et al.
  5.01
• Behind the Refusal: Determining Guardrail Activation via Behavioral Monitoring (2026)
  William Hackett et al.
  5.01
• Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection (2026)
  Jaesun Baek et al.
  5.01
• Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks (2026)
  Steyn Hommes et al.
  5.01
• Statistically Undetectable Backdoors in Deep Neural Networks (2026)
  Andrej Bogdanov et al.
  5.01
• Intentional Electromagnetic Interference Attacks on Facial Recognition (2026)
  Tyler Fitzsimmons et al.
  5.01
• CARE: Pre-Execution Command Verification for Shell-Executing LLM Agents (2026)
  Wenxiao Zhang 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
• Cleaning the NTP Pool: Detecting and Mitigating NTP-Sourced IPv6 Scanning (2026)
  Erik Rye et al.
  5.01
• Ethereum NFT Smart Contracts: Knowledge-Guided Vulnerability Detection with LLM and Code Slicing (2026)
  Deyu Yang et al.
  5.01
• Practical Graph Optimisation and AI-Driven Models for Active Directory Security Hardening (2026)
  Huy Q. Ngo
  5.01
• PoCEvolve: Generating Proof-of-Concept Exploits from Security Patches with Vulnerability-Aware Prompt Evolution (2026)
  Duc Manh Tran et al.
  5.01
• DeFiScreener: Efficient DeFi Attack Pre-screening in Smart Contracts via Historical Case Matching (2026)
  Rui Cao et al.
  5.01
• Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation (2025)
  Stefano Longari et al.
  4.98
• Securing Code Understanding: Detecting Natural Backdoor Vulnerability in Code Language Models (2026)
  Yuchen Chen et al.
  4.95
• Comparative Analysis of Inference-Time Defense Methods for Multimodal Large Language Models (2026)
  Bulat Nutfullin et al.
  4.95
• Do Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017 (2026)
  Zach Moczkodan (Royal Military College of Canada et al.
  4.95
• OpenAnt: LLM-Powered Vulnerability Discovery Through Code Decomposition, Adversarial Verification, and Dynamic Testing (2026)
  Nahum Korda et al.
  4.95
• The Role of Input Dimensionality in the Emergence and Targeted Control of Adversarial Examples (2026)
  Nasrin Malekzadeh Goradel et al.
  4.95
• CyberChainBench: Can AI Agents Secure Smart Contracts Against Real-World On-Chain Vulnerabilities? (2026)
  Jintao Huang et al.
  4.95
• Verifying Intent and Harm: A Unified Defense Against LLM-Generated Threats (2026)
  Poojitha Thota et al.
  4.95
• DroidBreaker: Practical and Functional Problem-Space Attacks on Machine-Learning Android Malware Detectors (2026)
  Christian Scano et al.
  4.95
• MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG (2026)
  Inderjeet Singh et al.
  4.95