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
• Injecagent: Benchmarking Indirect Prompt Injections In Tool-integrated Large Language Model Agents (2024)
  Qiusi Zhan, Zhixiang Liang, Zifan Ying, et al.
  15.95
• Prompt As Triggers For Backdoor Attack: Examining The Vulnerability In Language Models (2023)
  Shuai Zhao, Jinming Wen, Luu Anh Tuan, et al.
  11.85
• 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
• 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
• Illuminati: Towards Explaining Graph Neural Networks For Cybersecurity Analysis (2023)
  Haoyu He, Yuede Ji, H. Howie Huang
  9.41
• Modsec-learn: Boosting Modsecurity With Machine Learning (2024)
  Christian Scano, Giuseppe Floris, Biagio Montaruli, et al.
  9.16
• A Survey Of Source Code Representations For Machine Learning-based Cybersecurity Tasks (2024)
  Beatrice Casey, Joanna C. S. Santos, George Perry
  8.60
• On Security And Sparsity Of Linear Classifiers For Adversarial Settings (2017)
  Ambra Demontis, Paolo Russu, Battista Biggio, et al.
  7.81
• 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
• HARC: Coupling Harmfulness and Refusal Directions for Robust Safety Alignment (2026)
  Shei Pern Chua et al.
  7.37
• Fine-tuned Large Language Models (llms): Improved Prompt Injection Attacks Detection (2024)
  Md Abdur Rahman, Fan Wu, Alfredo Cuzzocrea, et al.
  7.16
• Security Concerns for Large Language Models: A Survey (2025)
  Miles Q. Li and Benjamin C. M. Fung
  7.13
• Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning (2025)
  Ze Yang et al.
  7.02
• A Dynamic-adversarial Mining Approach To The Security Of Machine Learning (2018)
  Tegjyot Singh Sethi, Mehmed Kantardzic, Lingyu Lyua, et al.
  6.77
• Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks (2026)
  John T. Halloran and Noopur S. Bhatt
  6.64
• 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
• APOLLO: A Gpt-based Tool To Detect Phishing Emails And Generate Explanations That Warn Users (2024)
  Giuseppe Desolda, Francesco Greco, Luca Viganò
  6.34
• Securing RAG: A Risk Assessment and Mitigation Framework (2025)
  Lukas Ammann et al.
  6.01
• CTI-HAL: A Human-Annotated Dataset for Cyber Threat Intelligence Analysis (2025)
  Sofia Della Penna et al.
  5.96
• Harmbench: A Standardized Evaluation Framework For Automated Red Teaming And Robust Refusal (2024)
  Mantas Mazeika, Long Phan, Xuwang Yin, et al.
  5.95
• UOR: Universal Backdoor Attacks On Pre-trained Language Models (2023)
  Wei Du, Peixuan Li, Boqun Li, et al.
  5.84
• 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
• 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
• Exemplifying Emerging Phishing: QR-based Browser-in-The-Browser (BiTB) Attack (2025)
  Muhammad Wahid Akram et al.
  5.35
• Leveraging LLM to Strengthen ML-Based Cross-Site Scripting Detection (2025)
  Dennis Miczek et al.
  5.29
• Aijack: Let's Hijack AI! Security And Privacy Risk Simulator For Machine Learning (2023)
  Hideaki Takahashi
  5.25
• Evaluating LLaMA 3.2 for Software Vulnerability Detection (2025)
  Jos\'e Gon\c{c}alves et al.
  5.24
• Badprompt: Backdoor Attacks On Continuous Prompts (2022)
  Xiangrui Cai, Haidong Xu, Sihan Xu, et al.
  5.24
• Evaluating The Efficacy Of Large Language Models In Identifying Phishing Attempts (2024)
  Het Patel, Umair Rehman, Farkhund Iqbal
  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
• Embedding Inference Attack (2026)
  Cedric Fitiavana Raelijohn et al.
  5.01
• Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety (2026)
  Michele Guida 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
• HaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI Safety (2026)
  Navaneeth Sangameswaran et al.
  5.01
• Behind the Refusal: Determining Guardrail Activation via Behavioral Monitoring (2026)
  William Hackett et al.
  5.01
• Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning (2026)
  Xingzhi Qian et al.
  5.01
• CARE: Pre-Execution Command Verification for Shell-Executing LLM Agents (2026)
  Wenxiao Zhang et al.
  5.01
• Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks (2026)
  Michael Kouremetis 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
• SIREN (Luring LLMs onto the Rocks): PAIR-Driven Preference Manipulation in Web-RAG Recommenders (2026)
  Evan Caville 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
• Agent Security Needs Redefinition through a Holistic Framework (2026)
  Vincent Siu et al.
  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
• Mimicking The Familiar: Dynamic Command Generation For Information Theft Attacks In LLM Tool-learning System (2025)
  Ziyou Jiang, Mingyang Li, Guowei Yang, 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
• OpenAnt: LLM-Powered Vulnerability Discovery Through Code Decomposition, Adversarial Verification, and Dynamic Testing (2026)
  Nahum Korda 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