Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
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Use when drafting an ACM CCS rebuttal during the HotCRP author-response window, covering threat-model defenses, adaptive-attack objections, ethics and disclosure questions, anonymity constraints, adversarial reviewer pushback patterns, and decision-focused replies aimed at the meta-reviewer.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this after CCS reviews are released. Reopen the current HotCRP rebuttal instructions and any length or format limits before drafting, because response mechanics are set per cycle.
| Pushback | What it signals | CCS-ready fix |
|---|---|---|
| "The attacker assumes too much" | The threat model looks unrealistic | Point to where the capability is justified, or scope the claim to the realistic subset and concede the rest |
| "You never tested an adaptive attacker" | The defense evaluation looks incomplete | Reference the adaptive experiment if present; if absent, concede and commit to a bounded camera-ready addition only if honestly feasible |
| "This is already a known CVE" | A prior-art gap | Distinguish root cause, scope, or impact from the CVE, with the specific technical delta |
| "The ethics of this are unaddressed" | Disclosure or harm concern | State the disclosure timeline, the harm-minimization steps, and the reasoning, quoting the ethics section |
Reviewer objection: the key-recovery attack assumes co-located measurement that real attackers cannot achieve. Reply skeleton:
[Priority issue] <reviewer concern>
[Decision dimension] threat model / novelty / correctness / evidence / ethics
[Draft response] <CCS-ready anonymous text>
[Evidence anchor] <section / figure / appendix item>
[Forbidden content removed] <identity leaks, unverifiable new results, over-promises>
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Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
中文简介正在准备中。当前显示原文说明。
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
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Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
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Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
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Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
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Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
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