Skill UI

This guide provides a strategic framework for authors responding to rigorous peer reviews in high-stakes academic venues. It details how to manage both short-term rebuttals and full revision submissions, covering objection triage (misreading, evidence gaps, adaptive attacks), precise scope definitions, and the formal documentation required for ethics and methodology. Learn to structure your response to maximize acceptance probability.

A comprehensive guide for authors submitting to top-tier security conferences (e.g., IEEE S&P). It details best practices for constructing the 'Related Work' section, focusing on defining a clear 'security delta' statement, mapping coverage across multiple attack vectors, managing resubmission overlaps (40% rule), and verifying citation attribution using tools like dblp and IEEE Xplore.

This guide provides rigorous methodology for authors submitting security and machine learning research to top conferences. It emphasizes the need to 'freeze the world' of measurement by pinning target versions, microarchitectural states, and network conditions. It details how to report probabilistic evidence (like attack success rates) and manage ethical data release, ensuring findings remain valid and verifiable over time.

A comprehensive guide for authors targeting the International Symposium on Research in Attacks, Intrusions and Defenses (RAID). This skill helps authors optimize their paper's positioning, strengthen the evidence chain (focusing on operational relevance and realistic evaluation), and structure submissions to meet the rigorous standards of top-tier cybersecurity conferences, thereby maximizing acceptance chances. It covers scope alignment, contribution types, and structural best practices.

A comprehensive guide for strengthening causal claims in corporate and empirical finance research. This resource details advanced econometric methods—including IV, DiD, RDD, and natural experiments—and provides strategies to preempt common methodological attacks (e.g., endogeneity, parallel-trends violations) required by top-tier academic journals like the Journal of Finance.

This guide teaches advanced academic writers how to structure their papers by positioning their thesis within an ongoing, live scholarly debate. It emphasizes engaging with the strongest, canonical versions of existing views, rather than summarizing literature or attacking strawmen. It helps authors define the precise gap their work fills and state their unique contribution clearly.

This guide provides a comprehensive framework for authors responding to peer reviews in major security conferences. It details how to triage reviewers' comments, structure technical responses (pointing to evidence, not arguing), handle complex objections like adaptive attacks and ethics, and effectively participate in the interactive discussion phase to refine the paper.

A comprehensive guide detailing the high standards required for presenting security evidence at major conferences. It covers methodologies for proving claims—including attacks, defenses, and detection systems—across live internet measurements, controlled testbeds, and emulation. Key requirements include adaptive adversary modeling, rigorous measurement hygiene, and adherence to ethical review protocols to ensure results are reproducible and relevant to real-world networks.

A comprehensive guide for authors targeting top-tier security conferences like NDSS. This skill helps determine manuscript fit, refine the academic framing, strengthen evidence, and understand venue-specific expectations (e.g., realistic attacker models, empirical validation). It serves as a strategic tool for conference submission planning, comparing submissions against related venues like USENIX Security and CCS.

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.