0.25
0.5
0.75
1.25
1.5
1.75
2
Balancing Privacy and Utility: Semantic Anonymization of Time-aware Knowledge Graphs
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Presentation
BalancingPrivacyandUtility: Semantic AnonymizationofTime-awareKnowledgeGraphs00:00
Contents00:16
Contents00:18
What isPrivacy?00:18
History UsesofKGsand Time-awareKGs(TKGs) Privacy00:49
History in Privacy01:23
History in Privacy01:58
Importance of Privacy in KGs02:00
Importance of Privacy in KGs02:19
Sensitive Attributes03:23
Sensitive Attributes03:25
Quasi-Identifiers03:47
k-Anonymity04:29
l-Diversity05:54
Average Information Loss06:50
Semantic Anonymization08:31
Semantic Anonymization08:36
Semantic Anonymization - Step 109:31
Semantic Anonymization - Step 209:52
Semantic Anonymization - Step 310:10
Semantic Anonymization - Step 410:39
Semantic Anonymization - Step 510:53
Semantic Anonymization - Step 611:26
Selection of Optimal k and l values11:57
Selection of Optimal k and l values12:14
Selection of Optimal k and l values12:16
Evaluation12:36
Variable k and constant l13:28
Impact of different embedding models13:29
Impact on AIL13:48
Multi-Objective Optimization Problem14:32
Impactonthe Performance of KG Embedding Models14:40
Impactonthe Performance of KG Embedding Models14:49
Impactonthe Performance of KG Embedding Models14:50
Conclusion15:06
Thank you15:14