Papers

• Practical Graph Optimisation and AI-Driven Models for Active Directory Security Hardening (2026)
  Huy Q. Ngo
  5.01
• From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan Backdoors (2026)
  Jiejun Tan et al.
  1.94
• Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models (2026)
  Malikeh Ehghaghi et al.
  1.94
• Self-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go? (2026)
  Yimeng Chen et al.
  1.94
• Learning to Detect Language Model Training Data via Active Reconstruction (2026)
  Junjie Oscar Yin et al.
  1.72
• Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling (2026)
  Mingqian Feng et al.
  1.67
• Security Without Detection: Economic Denial as a Primitive for Edge and IoT Defense (2025)
  Samaresh Kumar Singh et al.
  1.61
• X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents (2025)
  Salman Rahman et al.
  1.28
• Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols (2025)
  Mikhail Terekhov et al.
  1.28
• OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation (2025)
  Xiaojun Jia et al.
  1.28
• Can LLMs Follow Simple Rules? (2023)
  Norman Mu et al.
  —
• Stealing Part of a Production Language Model (2024)
  Nicholas Carlini et al.
  —
• AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases (2024)
  Zhaorun Chen et al.
  —