1.4 KiB
1.4 KiB
Paper: Understanding the (In)Security of Vibe-Coded Applications
type: paper title: Understanding the (In)Security of Vibe-Coded Applications authors: Junquan Deng, Zhiyu Fan, Ruijie Meng year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.23130 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-22 updated_at: 2026-06-23 status: queued relevance: high topics:
- agent-evaluation
- agent-safety
- coding-agent
- memory
- tool-use
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.CR
- cs.SE related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 13 collection_queries: ai-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: ai-agent
- inferred topics: agent-evaluation, agent-safety, coding-agent, memory, tool-use, workflow-agent
- arXiv categories: cs.CR, cs.SE
- collection score: 13
Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from
queuedtoskimmedorsummarized?