Differential privacy (DP) protects data by adding noise to queries, preventing re-identification while maintaining utility, addressing Artificial Intelligence -era privacy challenges. In the era of Artificial Intelligence, confidentiality and security are becoming significant challenges. Traditional anonymization techniques, such as pseudonymization and k-anonymity, have proven inadequate against sophisticated re-identification attacks. A robust privacy-preserving mechanism called differential […]
This article has been indexed from Security Affairs