Overview

Prompt injection attacks exploit the fact that language models may treat instructions embedded in untrusted text, images, tool outputs, or stored memory as authoritative. Researchers test attacks in settings such as web browsing, coding, peer review, and computer use, using adaptive payloads, visual or other hidden carriers, and multi-turn scenarios. Defenses range from input detection and adversarial training to provenance tracking, restricted tool permissions, and deterministic checks outside the model. A central challenge is resisting attacks that change across tasks and interfaces without blocking legitimate work; model refusals alone are often not a dependable security boundary.

Latest papers

CardsList

89 papers13 papers in the last four weeks, up 44% on the four weeks before. 0.1% of all new papers.

  1. Agentic AI Defense: Decode-Time Provenance Binding for MCP

    Oct 22, 2026Eric Yocam, Varghese Vaidyan, Paris Kalathas +3AI Agent SecurityPrompt Injection Attacks on AI Agents

  2. SoK: PIAtlas: Decomposing the Unbounded Prompt Injection Attack Space

    Oct 18, 2026Stavros Damianakis, Konstantinos PsounisPrompt Injection AttacksPrompt Injection Attacks on LLMs

  3. Nudge the Judge: Uncovering Program Decision Hijacking in Real-World Jev Applications

    Oct 13, 2026Yang Luo, Tiantian Ji, Zifeng Kang +4Software SecurityPrompt Injection Attacks

  4. Encrypted Skills Can Become New Security Exploits If AI Agents Know How to Decipher

    Oct 13, 2026Yan-Lun Chen, Pin-Yu Chen, Chia-Mu YuPrompt Injection Attacks on AI AgentsPrompt Injection Attacks

  5. Hidden in the Comments: A Context-Injection Attack Surface in Code LLMs

    Oct 4, 2026Noor Munir, Francesco Quinzan, Stephen RobertsLLM SecurityIndirect Prompt Injection

  6. Hidden Risks of Jev: An Empirical Study of Security, Privacy, and Dual Use

    Oct 4, 2026Shang Wang, Tianqing Zhu, Huajie Chen +3LLM Backdoor AttacksModel Extraction Attacks

  7. ToolFence: Fine-Grained Authorization for Secure Tool-Using LLM Agents

    Sep 29, 2026Yanjie Li, Xiangyu He, Xuelong Dai +1Runtime Enforcement for AI AgentsPrompt Injection Defense

  8. Divide and Inject: Can Agents Reconstruct an Indirect Prompt Injection from Fragments?

    Sep 29, 2026Michael Lee, Zhipeng Wei, Yue Dong +1Indirect Prompt InjectionPrompt Injection Attacks

  9. Same Bytes, Different Authority: Reserved-Token Representations in Chat-Template Prompt Injection

    Sep 28, 2026Yan Zhan, Yunze Song, Mengkai Hou +3Prompt InjectionPrompt Injection Defense

  10. ENDOPROMPT: Victim-Side Pseudo-References for Utility Degradation

    Sep 24, 2026Qingyu Wu, Zeyu Feng, Yongda Yu +2Adversarial Prompt GenerationPrompt Injection Attacks

  11. Prefilling the Reasoning Channel: Output-Prefix Attacks on Reasoning LLMs

    Sep 24, 2026Lukáš Brůna, Robert Bridges, Adam EkAdversarial Attacks on LLMsPrompt Injection Attacks

  12. Nameless Tokenization: A Lossless Tokenizer-Level Defense Against Control-Token Forgery in Open-Weight LLMs

    Sep 15, 2026Kisu Yang, Yoonna Jang, Heuiseok LimAdversarial Attacks on LLMsLLM Security

  13. An Experimental Evaluation of Multimodal Prompt Injection Attacks on Agentic AI Frameworks

    Sep 8, 2026Viet K. Nguyen, Mohammad I. HusainAI Agent SecurityAI Agent Security Benchmarks

  14. AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents

    Sep 6, 2026Zhihao Liu, Hongyu Sun, Zhiyuan Fu +7Adversarial Patch AttacksComputer-Use Agents

  15. Repeat-After-Me: Black-Box Adaptive Visual Prompt Injection

    Sep 3, 2026Sizhe Chen, Yu-Lin Tsai, Ivan Evtimov +4Prompt Injection AttacksPrompt Injection Attacks on AI Agents

  16. Beyond the Payload: How User Invocation Shapes Coding Agent Vulnerability to Repository Poisoning

    Aug 31, 2026Fukang Zhu, Binbin Zhao, Ruixiao Lin +3Prompt SensitivityAI Coding Agents

  17. LongPIBench: A Long-Context Benchmark for Prompt Injection

    Aug 28, 2026Yupei Liu, Yuqi Jia, Neil Zhenqiang Gong +1Prompt InjectionPrompt Injection Attacks

  18. AgentAntibody: An Adaptive Immune System for Defending LLM Agents against Prompt Injection

    Aug 4, 2026Shihao Weng, Yang Feng, Xiaofei Xie +1Continual Learning for LLM AgentsLLM Agent Security

  19. Invisible Ink Threats: Adversarial Goals Behind Legitimate Tasks in Computer-Use Agents

    Aug 3, 2026Jia-Chen Zhang, Ze-Yu Zhang, Kai-Wei ZhangComputer-Use Agent SafetyAI Agent Security Benchmarks

  20. CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization

    Jul 21, 2026Xinting Liao, Behnoosh Zamanlooy, Masoumeh Shafieinejad +4LLM SecurityPrompt Injection Defense

  21. Bad Memory: Evaluating Prompt Injection Risks from Memory in Agentic Systems

    Jul 16, 2026Soham Gadgil, David Alexander, Sai Sunku +1AI Agent SecurityAgent Memory Poisoning