News
REMINDER: Seminar endedWritten on 21.01.20 by Rui YE Dear all, The seminar ended last Tuesday. There is no class this week. Thanks a lot for your participation this semester. Best, Rui |
Last presentationWritten on 13.01.20 by Min Chen Dear all,
According to the demands of Darian, we will have only one paper to be presented tomorrow. 14.1.2020 * Anam Sadiq: Exploiting Unintended Feature Leakage in Collaborative Learning
Best, Min |
Latest presentation time and orderWritten on 06.01.20 by Rui YE Dear all, Happy new year. According to the demands of some students, there are some changes in the presentation time and order. Here is the latest. 7.1.2020 * Rui Wen: Latent Backdoor Attacks on Deep Neural Networks 14.1.2020 * Anam Sadiq: Exploiting Unintended Feature Leakage in… Read more Dear all, Happy new year. According to the demands of some students, there are some changes in the presentation time and order. Here is the latest. 7.1.2020 * Rui Wen: Latent Backdoor Attacks on Deep Neural Networks 14.1.2020 * Anam Sadiq: Exploiting Unintended Feature Leakage in Collaborative Learning * Darian Hach: Identifying Personal DNA Methylation Profiles by Genotype Inference Best, Rui |
Submit the summary report via emailWritten on 16.12.19 by Rui YE Dear all, Please submit the summary report via email. Best, Rui |
Next week paper changedWritten on 03.12.19 by Ahmed Salem Dear all, There will be a change in the order of the presentations. More concretely, the following presentations are switched:
Exploiting Unintended Feature Leakage in Collaborative Learning, It was next week and now will be on 7.1.2020.
Characterizing and Detecting Malicious… Read more Dear all, There will be a change in the order of the presentations. More concretely, the following presentations are switched:
Exploiting Unintended Feature Leakage in Collaborative Learning, It was next week and now will be on 7.1.2020.
Characterizing and Detecting Malicious Accounts inPrivacy-Centric Mobile Social Networks: A Case Study, It was on 7.1.2020 and it will be next week.
Thanks, Ahmed |
About the final summaryWritten on 28.11.19 by RUI YE Dear all, The final summary of all presentations needs to be 2 - 3 pages. Best, Rui |
Organizational newsWritten on 26.11.19 by Ahmed Salem Dear All,
As we discussed today after the seminar. 1- The presentation time should not exceed 30 minutes. 2- You can pick only one paper to ask questions about, but the questions/comments need to be meaningful!. 3- The seminar starts at 12:15 and ends at 14:15.
Thanks, Ahmed |
Presentation date and orderWritten on 08.11.19 (last change on 20.11.19) by RUI YE Dear all, Here are the presentation date and order. 19.11.2019 * Sabine Houy: Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data 26.11.2019 * Nicolas Tran: Auditing Data Provenance in Text-Generation Models * Rayhanul Islam Rumel: PrivIdEx: Privacy Preserving and… Read more Dear all, Here are the presentation date and order. 19.11.2019 * Sabine Houy: Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data 26.11.2019 * Nicolas Tran: Auditing Data Provenance in Text-Generation Models * Rayhanul Islam Rumel: PrivIdEx: Privacy Preserving and Secure Exchange of Digital Identity Assets. 3.12.2019 * Wentao Liu: MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples * Pradeep Karki: Detecting Fake Accounts in Online Social Networks at the Time of Registrations 10.12.2019 * Anam Sadiq: Exploiting Unintended Feature Leakage in Collaborative Learning * Lukas Schmitz: Knockoff Nets: Stealing Functionality of Black-Box Models 17.12.2019 * Darian Hach: Identifying Personal DNA Methylation Profiles by Genotype Inference * Yugeng Liu: Privacy Risks of Securing Machine Learning Models against Adversarial Examples 7.1.2020 * Rui Wen: Latent Backdoor Attacks on Deep Neural Networks Best wishes, Rui |
Paper AssignmentWritten on 04.11.19 by Ahmed Salem Dear all,
Here is the paper assignment: Alaeddine Abroug: Characterizing and Detecting Malicious Accounts inPrivacy-Centric Mobile Social Networks: A Case Study Pradeep Karki: Detecting Fake Accounts in Online Social Networks at the Time of Registrations Rui Wen:… Read more Dear all,
Here is the paper assignment: Alaeddine Abroug: Characterizing and Detecting Malicious Accounts inPrivacy-Centric Mobile Social Networks: A Case Study Pradeep Karki: Detecting Fake Accounts in Online Social Networks at the Time of Registrations Rui Wen: Latent Backdoor Attacks on Deep Neural Networks Wentao Liu: MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Sabine Houy: Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Nicolas Tran: Auditing Data Provenance in Text-Generation Models Thanks,
Ahmed
|
REMINDER: Deadline to pick papersWritten on 31.10.19 by RUI YE Dear all, Please send your email with 3 picked papers before next Monday. Best wishes, Rui |
kickoff slidesWritten on 29.10.19 by Yang Zhang Dear all, the kickoff slides can be found in https://cms.cispa.saarland/dp2019/materials/ Cheers, Yang |
Papers for pickWritten on 29.10.19 by RUI YE Dear all, 13 papers for presentations are listed on https://cms.cispa.saarland/dp2019/. Please check it and send us an email with your picked 3 papers. Best wishes, Rui |
Data Privacy
The development of ICT has resulted in an unprecedented amount of data available. The big data, on the one hand, bring many benefits to society, on the other hand, raises serious concerns about people's privacy. In this seminar, students will learn, summarize, and present state-of-the-art scientific papers in data privacy. Topics include social network privacy, machine learning privacy, and biomedical data privacy. The seminar is organized as a reading group. Every week, one student will present her/his assigned papers on a certain topic, followed by a group discussion. All students are required to read the papers carefully and prepare a list of questions for discussion. Each student will write a summary of her/his assigned papers providing a general overview of the field.
Logistics
Time: Tuesday 12:00-14:00
Venue: 0.06, E9 1
Instructors
Yang Zhang (zhang@cispa.saarland)
Min Chen (min.chen@cispa.saarland)
Ahmed Salem (ahmed.salem@cispa.saarland)
Rui Ye (rui.ye@cispa.saarland)
Papers
1 "Exploiting Unintended Feature Leakage in Collaborative Learning" https://arxiv.org/abs/1805.04049
2 "MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples" https://arxiv.org/abs/1909.10594
3 "Auditing Data Provenance in Text-Generation Models" https://arxiv.org/abs/1811.00513
4 "Privacy Risks of Securing Machine Learning Models against Adversarial Examples" https://arxiv.org/abs/1905.10291
5 "Knockoff Nets: Stealing Functionality of Black-Box Models" https://arxiv.org/abs/1812.02766
6 "Latent Backdoor Attacks on Deep Neural Networks" http://people.cs.uchicago.edu/~ravenben/publications/pdf/pbackdoor-ccs19.pdf
7 “Identifying Personal DNA Methylation Profiles by Genotype Inference” https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7958619
8 “P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification” https://arxiv.org/abs/1905.12883
9 “MBeacon: Privacy-Preserving Beacons for DNA Methylation Data” https://www.ndss-symposium.org/wp-content/uploads/2019/02/ndss2019_03A-2_Hagestedt_paper.pdf
10 “Characterizing and Detecting Malicious Accounts inPrivacy-Centric Mobile Social Networks: A Case Study” https://www.kdd.org/kdd2019/accepted-papers/view/characterizing-and-detecting-malicious-accounts-inprivacy-centric-mobile-so
11“Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor” https://emilianodc.com/PAPERS/pdd-www19.pdf
12 “PrivIdEx: Privacy Preserving and Secure Exchange of Digital Identity Assets.” https://dl.acm.org/citation.cfm?doid=3308558.3313574
13 “Detecting Fake Accounts in Online Social Networks at the Time of Registrations” http://people.duke.edu/~zg70/papers/Ianus.pdf
1-6 Machine learning privacy, 7-9 Health privacy, 10-13 Social network privacy