most citedA.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

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cs.CR2026

The Agent in the Middle: How AI-Mediated Access Reshapes Web Vulnerability Exploitation

Ruozhao Yang, Jiongchi Yu, Ming Hu +1

Web services increasingly expose backend interfaces that let users delegate tasks to AI agents, which invoke service operations directly without navigating websites. This shift cha…

cs.CR2026

JANUS: Synthesizing Cross-Layer Defenses Against Web Deserialization Attacks

Ruozhao Yang, Minglang Li, Jiongchi Yu +2

Unsafe deserialization turns untrusted data into attacker-controlled execution, and a single vulnerability can admit diverse exploit variants that evade defenses tailored to a know…

cs.CR2026

AgentTrap: Stateful Feedback Deception against Autonomous Penetration Testing Agents

Yuelin Wang, Jiongchi Yu, Yanbang Sun

Autonomous penetration testing agents conduct multi-step attacks by continuously adapting their plans and actions to target responses. As a common defense, honeypots can be deploye…

cs.CR2026

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

Shihao Weng, Yang Feng, Xiaofei Xie +1

Prompt injection remains a critical threat to LLM agents, yet existing defenses treat each task as a self-contained problem, independent of previous encounters. In practice, user r…

cs.CR2026

ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection

Shihao Weng, Yang Feng, Jinrui Zhang +3

Large Language Model (LLM) agents are increasingly deployed as task-oriented software systems that use runtime context to decide and act on behalf of users. This delegation model m…

cs.CR2025

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation

Jiongchi Yu, Xiaofei Xie, Qiang Hu +2

Insider threats pose a persistent and critical security risk, yet are notoriously difficult to detect in complex enterprise environments, where malicious actions are often hidden w…

cs.CR2025

CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift

Jiongchi Yu, Xiaofei Xie, Qiang Hu +6

With the rapid advancement of cloud-native computing, securing cloud environments has become an important task. Log-based Anomaly Detection (LAD) is the most representative techniq…