Skill UI

This advanced skill details dual-use security techniques for analyzing protected binaries, conducting malware analysis, and performing authorized penetration testing. It strictly mandates that users confirm explicit written authorization, adhere to defined scope, and ensure legal compliance (e.g., CFAA, DMCA). Use cases include CTF competitions, academic research, and internal security auditing, emphasizing defensive recommendations and evidence preservation.

This advanced skill details dual-use security techniques for analyzing protected binaries, conducting malware analysis, and performing authorized penetration testing. It strictly mandates that users confirm explicit written authorization, adhere to defined scope, and ensure legal compliance (e.g., CFAA, DMCA). Use cases include CTF competitions, academic research, and internal security auditing, emphasizing defensive recommendations and evidence preservation.

A comprehensive guide for positioning research manuscripts for the ACM SIGGRAPH I3D Symposium. It covers core topics like real-time rendering, interactive 3D systems, and GPU algorithms, advising authors on how to frame their work, structure evidence, and compare it against related academic venues to maximize submission success.

This guide outlines the process for converting accepted academic papers into optional ACM reproducibility badges. It walks authors through the rigorous evaluation cycle, covering everything from initial opt-in before submission to providing detailed one-page artifact descriptions. The goal is to prove that the research results are available, functionally sound, highly reusable, and accurately reproducible by independent evaluators.

A comprehensive guide for authors submitting networking research to CoNEXT. It outlines best practices for achieving technical reproducibility, focusing on pinning traces, configurations, environments, and pipelines. Learn the critical timeline for optional ACM badging and how to maintain an honest data-availability posture for robust academic review.

This comprehensive guide details the academic review pipeline for CoNEXT conference submissions. It covers double-anonymous double-blind review, the two-round TPC process, and the critical nature of the one-shot "major revision," which functions similarly to a journal's revise-and-resubmit cycle. It provides authors with strategic insights to structure their research for rigorous academic scrutiny.

This detailed guide teaches authors how to structure and position their research paper within the highly interdisciplinary field of robot learning. It covers essential best practices, including reviewing multiple concurrent literature streams (ML methods, classical robotics, robot lineage, VLA models) and adhering to strict academic citation hygiene (e.g., handling PMLR year offsets).

A comprehensive guide for establishing research reproducibility in Electronic Design Automation (EDA). It details best practices for pinning benchmark suites, disclosing specific tool versions (open/commercial), documenting technology nodes (PDKs), and handling stochastic data flows (seeds, variance). Essential for ensuring that semiconductor design claims and ML-for-EDA results are credible and verifiable by the academic community.

This comprehensive guide provides a detailed audit checklist for submitting research manuscripts to major design automation conferences (e.g., DAC). It covers critical steps such as the two-stage abstract/manuscript timeline, adherence to the strict 6+1 page format, ensuring double-blind anonymization (removing all identifying metadata), declaring TPC conflicts, and mitigating common submission risks. Essential reading for researchers preparing for high-stakes academic submissions.

This guide meticulously models the rigorous decision-making machinery of top-tier academic conferences, using EuroSys as a detailed example. It covers the two-round submission cycle, the 'Accept/Revise/Reject' outcome logic, double-blind review mechanics, and critical criteria (like deployment plausibility and verifiable fairness) that determine a paper's success. Ideal for researchers and graduate students preparing systems research submissions.

This guide provides a comprehensive project management workflow for submitting research to the USENIX FAST conference. It covers the entire academic lifecycle, detailing milestones from initial topic selection and evidence locking to double-blind submission, author response, and managing the complex two-deadline cycle, including potential one-shot revisions. Use this to back-plan your research schedule based on concrete storage measurement timelines.

A comprehensive guide for researchers preparing academic artifacts for voluntary, post-acceptance evaluation (e.g., HPCA). It outlines best practices for structuring submissions for cold-start evaluators, defining reproducibility tiers (full reproduction, regeneration from logs, inspection), and managing computational budgets to successfully earn IEEE reproducibility badges.