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class:privacy2022sgrad [2022/03/02 14:46] jimin1708 [Reading List] |
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**: Tuesdays, 10am to 1pm | + | * **Time**: Wednesdays, 1pm to 4pm |
| * **Type**: Graduate Seminar | * **Type**: Graduate Seminar | ||
| * **Goal of the class** | * **Goal of the class** | ||
| Line 13: | Line 13: | ||
| * Resources | * Resources | ||
| - | **Participants** | ||
| - | |||
| - | ^ # ^ Name ^ Dept ^ Advisor ^ Mobile Phone ^ Email Address ^ | ||
| - | | 1 | ZHANG ZHONG | CE | Minho Shin | 010-2676-8912 | zhangzhong219017@hotmail.com | | ||
| - | | 2 | Gun Noh | CE | Jonghoon Chun | 010-4544-8169 | laylow861@gmail.com | | ||
| - | | 3 | Sujeong Lee | CE | Minho Shin | 010-3114-5814 | sujunglee223@gmail.com | | ||
| - | | 4 | Yujin Kwon | CE | Seungchul Han |010-2386-5092 | yujin2382@gmail.com | | ||
| - | | 5 | Minhae Jang | CE | Yeonseung Ryu | 010-8851-9207 | jully6363@naver.com | | ||
| ====== 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 ====== | ====== Term Project ====== | ||
| - | |||
| - | * Goal: Analyze the privacy levels of data using ARX + alpha | ||
| - | * 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.1646207179.txt.gz · Last modified: 2025/10/13 12:59 (external edit) · [Old revisions]
