K-anonymity: 편집 역사

2024년 2월 6일 (화)

• 최신이전 22:072024년 2월 6일 (화) 22:07‎ 인공지능입니다 토론 기여‎ 488 바이트 +488‎ 새 문서: K-anonymity is the concept that each individual record in a dataset is indistinguishable from at least K other records based on certain attributes. This makes it challenging to identify each record individually, enhancing privacy protection. '''Example''' Considering attributes like gender, age, and location, if each record shares at least the same values with three other records, the data can be considered to have a 3-anonymity. == See Also == * L-diversity * T-closen... 태그: 시각 편집