Skill UI

A comprehensive guide to navigating the UIST (User Interface Software and Technology) academic review pipeline. It details every stage, from initial submission and expert review to the rebuttal phase and final committee decisions. The guide teaches authors how to critically analyze reviewer feedback, identify evidence gaps, strengthen novelty claims, and strategically plan for conditional acceptance or resubmission.

A comprehensive audit guide for the final pre-upload submission of UIST (User Interface Software and Technology) conference papers. This document details critical steps, including adhering to strict formatting rules (e.g., two-column layout, page limits), managing the abstract and paper deadlines, and executing thorough anonymity sweeps to prevent desk rejection. Essential reading for authors preparing for major academic conferences.

A comprehensive guide for producing the mandatory supplementary video figure for UIST submissions. This material treats the 3-minute video as core evidence, detailing requirements for resolution (1080p/4K), codec (H.264), and anonymity. It guides authors on scripting the video around key claims, ensuring uncut interaction loops, and maintaining academic rigor to convince reviewers of the system's reality.

A comprehensive guide for positioning computer science manuscripts for top-tier security conferences like USENIX Security. It covers core topics (systems, network, privacy, software security), required evidence (rigorous artifact, measurement, vulnerability analysis), and strategic advice on framing the work to meet adversarial reviewer expectations. Ideal for authors preparing high-stakes academic submissions.

A comprehensive guide detailing the mandatory and optional evaluation phases for academic security artifacts, such as those required for USENIX Security. It covers Phase-1 (availability) checks and Phase-2 (functionality, reproducibility) requirements. Provides best practices for structuring code, managing technical hazards (e.g., dangerous-by-default behavior), and ensuring verifiable, reproducible results for peer review.

A comprehensive audit checklist for designing and evaluating security experiments, adhering to the highest academic standards (e.g., USENIX Security). It guides users through verifying adaptive attacker models, calculating precision at realistic base rates, ensuring statistical honesty for stochastic results, and maintaining ethical compliance when working with live systems.

A comprehensive guide for positioning research papers for top-tier security conferences like USENIX Security. It covers defining coverage against 'Big-Four' and specialty venues, ensuring novelty across multi-cycle academic pipelines, identifying mechanism-level differentiators, and mastering double-blind citation mechanics for maximum impact.

This comprehensive guide details the academic submission lifecycle for USENIX Security. It maps out the multi-stage review pipeline, from initial submission through early rejection to final notification. It critically updates authors on the current decision vocabulary (e.g., Shepherd Approval, retired major revisions), emphasizing mandatory review foci like ethics adequacy, threat-model realism, and openness posture for strategic planning.

This guide outlines the strict formatting and structural guidelines for submitting security conference papers (like USENIX Security). It helps authors determine which material—core mechanisms, proofs, or supplementary data—must remain in the main body to guarantee review visibility, versus what can be safely demoted to optional appendices or external artifacts.

A rigorous guide for drafting high-stakes, technical security papers for the USENIX Security Symposium. It mandates a threat-model-first structure, requiring authors to quantify all security claims with measurable data to avoid hyperbole. The guide also details integrating responsible disclosure narratives and adhering to strict academic formatting rules.

A comprehensive guide for designing and auditing visualization experiments for high-stakes academic submissions (e.g., IEEE VIS). It details how to match evidence—such as controlled studies, power analyses, and benchmarks—to the specific type of claim (perceptual, algorithmic, system). Learn best practices for statistical rigor, CVD-safe encoding, and maintaining full provenance to ensure your findings are scientifically sound and trustworthy.

A comprehensive guide detailing the rigorous, journal-style review process for IEEE VIS full-paper submissions. It explains the two-phase evaluation structure, the significance of a 'Conditional Accept' (treating it like a major R&R), and how the process differs fundamentally from single-decision conference models (e.g., CVPR, CHI). Essential reading for authors navigating academic publication.