Face De-Identification with Perfect Privacy Protection

Li Meng, Zongji Sun

Research output: Contribution to conferencePaperpeer-review

18 Citations (Scopus)
212 Downloads (Pure)

Abstract

The rising concern for privacy protection and the associated legal and social responsibilities have led to extensive research into the field of face de-identification over the last decade. To date, the most successful algorithms developed for face de-identification are those based on the k-Same de-identification, which guarantee a recognition rate lower than 1/k. However, the current k-Same solutions such as k-Same-Eigen and k-Same-M all rely on a decent value of k to deliver a good privacy protection. This paper proposes a departure from a fundamental aspect shared by the current k-Same solutions and thereby introduces a new member to the family which achieves perfect privacy protection for any original face regardless of the value of k.
Original languageEnglish
Pages3
Number of pages6
Publication statusPublished - 26 May 2014
Event37th International Convention on Information and Communication Technology, Electronics and Microelectronics - Grand hotel Adriatic, Opatija, Croatia
Duration: 26 May 201430 May 2014

Conference

Conference37th International Convention on Information and Communication Technology, Electronics and Microelectronics
Country/TerritoryCroatia
CityOpatija
Period26/05/1430/05/14

Keywords

  • Biometrics
  • PRIVACY PROTECTION

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