1.5 KiB
1.5 KiB
Paper: SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents
type: paper title: "SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents" authors: Hao Cheng, Changtao Miao, Tianle Song, Yin Wu, He Liu, Erjia Xiao, Junchi Chen, Xiaoyu Shi, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.02302 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-01 updated_at: 2026-06-01 status: queued relevance: high topics:
- agent-evaluation
- agent-safety
- memory
- rag
- tool-use
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.CR
- cs.AI related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 18 collection_queries: agent-safety, autonomous-agent-llm
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: agent-safety, autonomous-agent-llm
- inferred topics: agent-evaluation, agent-safety, memory, rag, tool-use, workflow-agent
- arXiv categories: cs.CR, cs.AI
- collection score: 18
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?