Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MIPRO.2014.6859756 | Information and Communication Technology, Electronics and Microelectronics |
Keywords | Field | DocType |
data privacy,face recognition,social sciences,associated legal,face deidentification,k-same deidentification,privacy protection,social responsibilities,active appearance model,face de-identification,k-Same,k-anonymity,privacy protection | Facial recognition system,Internet privacy,De-identification,Computer science,Computer security,k-anonymity,Social responsibility,Active appearance model,Deidentification,Biometrics,Information privacy | Conference |
Citations | PageRank | References |
9 | 0.59 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lily Meng | 1 | 9 | 0.59 |
| Zongji Sun | 2 | 17 | 1.77 |