Approximation algorithms for k-anonymity and privacy preservation in query logs
Approximation algorithms for k-anonymity and privacy preservation in query logs
en-zh
en-de
en-es
en-fr
en-sl
en
0.25
0.5
0.75
1.25
1.5
1.75
2
The talk (i) reviews a number of topics related to the concept of kanonymity, (ii) discusses two information-theoretic measures for capturing the amount of information that is lost during the anonymization process, (iii) presents approximation algorithms for the k-anonymization problem and (iv) discusses topics of privacy preservation on query logs.