Project Topics:

Please implement one of the following techniques in our anonymization toolbox.

•  Ali, Vishwath:
• “Data Privacy Through Optimal k-Anonymity” by Bayardo et al.

• Philip:
• “Efficient k-Anonymization Using Clustering Techniques” by Byun et al.

• Richard :
• “Fast Data Anonymization with Low Information Loss” by Ghinita et al.

• Scott:
• “K-Anonymization as Spatial Indexing: Toward Scalable and Incremental Anonymization” by Iwuchukwu et al.

• Raymond:
• “On Anonymization of String Data” by Aggarwal et al.

• Tyrone, Zhong:
  
• “Incognito: Efficient Full-Domain K-Anonymity” by LeFevre et al.

•  Robert:
• “K-Anonymization Revisited” by Gionis et al.

• Mustafa:
• Utility/Cost Measures for Anonymized Data:
1. Discernability Metric: “Data Privacy through Optimal k-Anonymity” by Bayardo et al.
2. Loss Metric: “Transforming Data to Satisfy Privacy Constraints” by Iyengar et al.
3. Minimum Average Group Size: “l-Diversity: Privacy Beyond k-Anonymity” by Machanavajjhala et al.