aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
Use when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and sharpening the threat model and attacker capability before writing begins.
Claude Code
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection --agent claude-code
Codex
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a codex -y
Cursor
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a windsurf -y
name: ccs-topic-selection description: Use when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and sharpening the threat model and attacker capability before writing begins.
Use this before writing. ACM CCS is the SIGSAC flagship: it rewards work with a concrete attacker, a defensible threat model, and evidence that survives an adversarial program committee. Decide venue by community and contribution type, never by prestige ranking.
a defense with measured cost, an applied-cryptography protocol, a systems or web-security mechanism, or a measurement study — aimed at the cross-area SIGSAC community.
systematization framing and the November cycle fits your calendar better.
evidence lives in a runnable tool and open benchmark.
routing, malware infrastructure).
its deployment, is the result.
| Signal in the project | CCS reading | |---|---| | New attack with a clearly bounded adversary and demonstrated impact | Core fit — the house genre | | Defense evaluated against adaptive attacks with deployment cost | Core fit | | Applied crypto protocol with implementation and measured overhead | Core fit | | Internet-scale or ecosystem measurement with validated sampling | Core fit | | Pure cryptographic hardness proof, no system | CRYPTO/EUROCRYPT or a theory venue | | Privacy-first metrics with no other security property | PETS/PoPETs |
A project extracts keys from a deployed TLS library via a microarchitectural side channel, with a proof-of-concept exploit and a constant-time patch. CCS reading: strong fit — a concrete attacker, measured leakage, and a defense with overhead numbers is exactly the CCS arc. Strip the exploit and keep only an abstract leakage bound, and it drifts toward a crypto theory venue; expand the network-measurement of vulnerable hosts into the whole story, and NDSS becomes plausible; foreground only the privacy harm to users, and PETS fits better.
write the threat model in three sentences, the contribution is not yet CCS-shaped.
because reviewers grade each against a different evidence bar.
needing 30 pages of proofs may belong at a journal or a theory venue.
final routing.
[Fit] strong CCS / possible CCS / better elsewhere [Best venue] CCS / IEEE S&P / USENIX Security / NDSS / PETS / crypto venue / other [Contribution type] attack / defense / protocol / measurement / tool / study [Threat model in one line] <adversary capability and goal> [Top rejection risk] <threat-model / novelty / evidence / ethics / scope> [Next action] <sharpen threat model, add evidence, reframe, or switch venue>
Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL…
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits,…
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical…
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and…
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and…
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use…
AI-driven presentation workflow for generating editable PPTX decks and slides, reconstructing page visuals, creating reusable…
Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style…
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to…