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class:privacy2022sgrad [2022/03/03 11:54]
mhshin [Overview]
class:privacy2022sgrad [2025/10/13 12:45] (current)
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   * **Provided by**: Dept. of Computer Engineering,​ Myongji University   * **Provided by**: Dept. of Computer Engineering,​ Myongji University
   * **Lead by**: Minho Shin (mhshin@mju.ac.kr,​ Rm5742)   * **Lead by**: Minho Shin (mhshin@mju.ac.kr,​ Rm5742)
-  * **Period**: ​Fall semester, ​2017+  * **Period**: ​Spring ​semester, ​2022
   * **Location**:​ 5701 at 5th Engineering Building   * **Location**:​ 5701 at 5th Engineering Building
   * **Time**: Wednesdays, 1pm to 4pm   * **Time**: Wednesdays, 1pm to 4pm
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 ====== Agenda ====== ====== Agenda ======
  
-^ Date ^ Name ^  Topic  ^ Slides ^ Data ^ Method ^ Evaluation ^ Contribution ​ 
-| 2017.*.* | Minho | Topics in Data Privacy |{{ :​class:​gpriv2017f:​lecture-privacy.pptx |}} \\ {{ :​class:​gpriv2017f:​differentialprivacy2.pptx |}} |{{ :​class:​gpriv2017f:​data_new.zip |}} | | | 
  
-====== Term Project ====== 
  
-  * Goal: Analyze the privacy levels of data using ARX + alpha +====== Term Project ======
-  * Steps +
-    - Choose your data (already done) +
-      - 권유진: adult +
-      - Zhong: atus +
-      - 장민해: cup +
-      - 이수정: fars +
-      - 노건: ihis +
-    - Download your data and VHG  +
-    - Open the data in ARX +
-    - Choose quasi-identifiers +
-    - Choose one sensitive attribute +
-    - Import VHGs +
-    - Check if VHG is valid. If not, fix it. +
-      - Generalization steps should be in detail +
-    - Run de-identification algorithms +
-      - run k-anonymity with k=3, 5, 10 +
-        - choose suppression limit as you wish +
-      - run distinctive l-diversity with l=3, 5, 10 +
-      - run entropy l-diversity with l=3, 5, 10 +
-      - run t-closeness with your choice of t +
-    - For each de-identified data do +
-      - Compute Min/Max/Avg EQ group sizes +
-      - Compute Min/Max/Avg # of different sensitive values  +
-      - Compute Min/Max/Avg entropy  +
-      - Compute GenInfoLoss +
-      - Compute the privacy levels +
-        - Compute identity-disclosure level +
-          *  {{:​class:​gpriv2017f:​screen_shot_2017-12-06_at_3.18.25_am.png?​150|}} +
-        - Compute attribute-disclosure level +
-          * {{:​class:​gpriv2017f:​screen_shot_2017-12-06_at_3.22.43_am.png?​200|}} +
-        - Compute inference-disclosure level +
-          * {{:​class:​gpriv2017f:​screen_shot_2017-12-06_at_3.23.49_am.png?​200|}}  +
-        - Analyze the results of privacy levels +
-     - Discuss the results+
  
  
 
class/privacy2022sgrad.1646283267.txt.gz · Last modified: 2025/10/13 12:59 (external edit) · [Old revisions]
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