… The following papers were recommended by the Semantic Scholar API AIRGuard: Guarding Agent Actions with Runtime Authority Control 2026 LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection 2026 Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents 2026 ARG… …
… The following papers were recommended by the Semantic Scholar API PIArena: A Platform for Prompt Injection Evaluation 2026 Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs 2026 Transient Turn Injection: Exposing Stateless Multi-Turn Vulnerabilities in Large L… …
… The following papers were recommended by the Semantic Scholar API The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents 2026 Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents 2026 AIRGuard: Guarding Agent Actions wit… …
… The following papers were recommended by the Semantic Scholar API AgentTrap: Measuring Runtime Trust Failures in Third-Party Agent Skills 2026 Defenses&Enablers For Skill Injection Attacks on Terminal Based Agents 2026 SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated Construction 2026 F… …
… Rather than exposing a harmful objective in a single prompt, increasingly capable attackers can distribute their intent across multiple benign-looking turns. …
… The following papers were recommended by the Semantic Scholar API SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces 2026 VESTA: A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents 2026 Plant, Persist, Trigger: Sleeper Attack … …