CAJ | 학술논문

随着数据分析和发布等应用需求的出现和发展，如何保护隐私数据和防止敏感信息泄露成为当前面临的重大挑战。基于犽-匿名或者划分的隐私保护方法，只适应特定背景知识下的攻击而存在严重的局限性。差分隐私作为一种新出现的隐私保护框架，能够防止攻击者拥有任意背景知识下的攻击并提供有力的保护。文中对差分隐私保护领域已有的研究成果进行了总结，对该技术的基本原理和特征进行了阐述，重点介绍了当前该领域的研究热点：差分隐私下基于直方图的发布技术、基于划分的发布技术以及回归分析技术。在对已有技术深入对比分析的基础上，指出了差分隐私保护技术的未来发展方向。
수착수거분석화발포등응용수구적출현화발전，여하보호은사수거화방지민감신식설로성위당전면림적중대도전。기우아-닉명혹자화분적은사보호방법，지괄응특정배경지식하적공격이존재엄중적국한성。차분은사작위일충신출현적은사보호광가，능구방지공격자옹유임의배경지식하적공격병제공유력적보호。문중대차분은사보호영역이유적연구성과진행료총결，대해기술적기본원리화특정진행료천술，중점개소료당전해영역적연구열점：차분은사하기우직방도적발포기술、기우화분적발포기술이급회귀분석기술。재대이유기술심입대비분석적기출상，지출료차분은사보호기술적미래발전방향。
As the emergence and development of application requirements such as data analysisand data publication,a challenge to those applications is to protect private data and prevent sensitiveinformation from disclosure.However,most existing methods based on犽-anonymity or partition-based have serious limitations because they only preserve individual privacy under special assumptionof adversary’s background knowledge.Differential privacy has emerged as a new paradigm forprivacy protection with strong privacy guarantees against adversaries with arbitrary backgroundknowledge.This paper surveys the state of the art of differential privacy for data publication andanalysis.The mechanisms and properties of this model are described,while our focuses are puton private data releases in terms of histogram and partition techniques,and analysis based onregression skills.Following the comprehensive comparison and analysis of existing works,futureresearch directions are put forward.