output
20022026
most citedDeep Isolation Forest for Anomaly Detection

541 citations

Showing cs.SEShow all

124 papers · 1 filter

cs.SE2026

AgentChaos: Chaos Engineering for Agent Systems via Programmatic Fault Injection

Gou Tan, Zhensu Sun, Jieke Shi +10

Agent systems rely on LLM APIs for every response, but these APIs can return server errors, truncated responses, or corrupted content that propagates through downstream agents and…

cs.SE2026

Demystifying Solana Bots: From GitHub Blueprints to On-Chain Fingerprints

Xiaoye Zheng, Yujing Chen, Minghao Wu +5

Solana is an emerging blockchain platform designed for high throughput and low transaction fees, making it inexpensive to submit transactions at scale and, consequently, increasing…

cs.SE2026

Automated Repair of TEE Partitioning Issues via DSL-Guided and LLM-Assisted Patching

Chengyan Ma, Jieke Shi, Ruidong Han +4

Trusted Execution Environments (TEEs) provide hardware-based isolation to protect sensitive data and computations from potentially compromised operating systems (OS). However, TEE…

cs.SE2026

Finding Missing Input Validation in TEEs via LLM-Assisted Symbolic Execution

Chengyan Ma, Jieke Shi, Ruidong Han +3

Trusted Execution Environments (TEEs) provide hardware-enforced isolation that protects sensitive code and data from untrusted software. Despite their strong security guarantees, a…

cs.SE2026

MuMuTestUp: Mutation-based Multi-Agent Test Case Update

Dawei Tian, Jiakun Liu, Yun Peng +4

Modern software systems evolve rapidly under CI/CD practices, where tests are critical for quality. However, substantial code changes often render existing test cases obsolete, cau…

cs.SE2026

Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files

Christoph Treude, Sebastian Baltes, Marc Cheong

As AI coding agents become embedded in software development workflows, developers are beginning to operationalize ethical principles by encoding behavioral rules into repository-le…