基于模糊影响图的差分隐私算法保护效果评估方法OA北大核心CSTPCD

In response to the challenge of comprehensively assessing privacy-preserving algorithms,an assessment method on protection effectiveness of differential privacy algorithms based on fuzzy influence diagram was proposed,achieving a multi-perspective assessment of differential privacy algorithms with a comprehensive score and level as as-sessment results.Starting from five aspects—algorithm security,feasibility,privacy bias,data utility,and user experi-ence,an indicator system was established.Fuzzy theory was employed to handle uncertainties,while the diagram was used to propagate interactions between factors.The assessment score and level were obtained by calculating the fuzzy in-fluence diagram,and then used as feedback for parameter adjustment to achieve iterative assessment.Formalization link was proposed to solve the problem of completely opposite algorithms with idential evaluation results.Comparative ex-periments on electricity-carbon analysis model demonstrate the proposed method can assess the protection effectiveness of differential privacy algorithms effectively.Ablation experiments further show that the formalization link plays a key role in the discrimination of the algorithm.