Towards Benchmarking Privacy Risk for Differential Privacy: A Survey

While utilizing the Differential Privacy (DP) method, there are still many open issues regarding the method's effectiveness and reliability, including multiple difficulties in measuring the privacy level, which leads to implications in assessing risks while operating with personal data. Today, many experts and researchers emphasize the need and importance of utilizing DP for various kinds of data and tasks. However, to the best of our knowledge, the studies have yet to analyze the DP method regarding privacy risk assessment, thereby assessing the risks while utilizing DP and in the context of known types of privacy attacks. As a result, this study examines the existing privacy risks for various DP types in the context of present types of attacks. Also, the concept of privacy risk for DP will be analyzed, along with the corresponding metrics and their utility measurement. Our research method relies on a literature review; as a result, studies published from 2010 to 2023 were reviewed. Selected articles we examined based on the existing types of attacks, methods and metrics used to assess privacy risks. Based on this, we advanced the concept of privacy risk since none of the scientific studies clearly established the notation privacy risk for DP. Thus, we seek to explain the concept of privacy risk for DP in the context of existing types of attacks, thereby enabling DP utilization concerning the GDPR.