Use when auditing existing Public Equity Investing models or spreadsheets. Do not use to build a new model from scratch.
日本語の概要は準備中です。原文の説明を表示しています。
4 件 ・ 関連度順
概要と使いどころ
Use when auditing existing Public Equity Investing models or spreadsheets. Do not use to build a new model from scratch.
日本語の概要は準備中です。原文の説明を表示しています。
Use when building public-equity DCF valuation workbooks. Default to the banker formula workbook path for new model builds; use deterministic exports only for controlled support calculations or explicit lightweight runs. Do not use for standalone workbook audits; use model-audit-tieout.
日本語の概要は準備中です。原文の説明を表示しています。
Audits business spreadsheet models (.xlsx, .xlsm, or Google Sheets exported to .xlsx) for structural integrity errors and explains each fix -- budgets, forecasts, pricing models, commission calculators, FP&A packs, ops trackers, not only banking models. A bundled openpyxl script finds hardcoded numbers inside formulas, typed values pasted over formulas, inconsistent formulas across a row or column,
日本語の概要は準備中です。原文の説明を表示しています。
Conducts privacy auditing of AI models including training data extraction testing, membership inference attacks, model inversion testing, and attribute inference assessment. Uses ML Privacy Meter and related tools to quantify privacy leakage. Keywords: model audit, membership inference, privacy meter, model inversion, training data extraction.
日本語の概要は準備中です。原文の説明を表示しています。