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Public Pad Latest text of pad QQS6CCpTDl Saved July 10, 2024

 
You can find your name below the list of papers we'll read. Volunteer for the paper you like on the date it is to be discussed (on the day that you're assigned to).
Do not change the day of your participation unless you've discussed with the person that you're switching with.
Thanks!
 
Please don't change the dates, that could cause confusion :-)
 
Tue 14.5.2024
1) Marx
2)  Stuber
 
Thu 16.5.2024
1) Schmack
2) Sauer
 
Tue 28.5.2024
3) Djouadi
4) Nguyen
 
Thu 20.6.2024
3) Junge
4) Fabricius
 
 
Tue 18.6.2024
5) Castro
6) Idvorean
 
Thu 4.7.2024
5) Dissert
6) Schall
 
 
Tue 25.6.2024
7) Springer
8) Zetto
 
Thu 11.7.2024
7) 
8) Baumgarten-Egemole
 
 
Tue 2.7.2024
9) Knapp-Holldorf
10)  Dormann
 
Thu 25.7.2024 
9)  Knirsch 
10) Spannagel
 
Papers 2024:
1) Sangwook Bae and others, "Watching the Watchers: Practical Video
Identification Attack in LTE Networks", USENIX Security, 2022
 
2)  C. Diaz, S. Seys, J. Claessens, B. Preneel, "Towards measuring  anonymity", In Proc. 2nd International Conference on Privacy-Enhancing  Technologies (PETs), LNCS,   vol. 2482., pp. 54–68, 2002. 
               
3) Latanya Sweeney. Simple demographics often identify people uniquely. Health, 2000   
               
4) YA  de Montjoye, CA Hidalgo, M  Verleysen, VD Blondel. Unique in the Crowd:  The privacy bounds of human  mobility. Nature srep. 3    
               
5)  A. Narayanan and V.  Shmatikov, "Robust de-anonymization of large sparse datasets", in  Proc. IEEE Symp. Secur., Priv. (SP). IEEE  Comput. Soc.,    May 2008,   pp.  111-125.
               
6) Juhi Kulshrestha, Marcos  Oliveira, Orkut Karac ̧alık, Denis Bonnay, Claudia Wagner. Web  Routineness and Limits of Predictability:Investigating Demographic and  Behavioral   Differences Using Web Tracking Data 
 
7) Kim Wuyts, Riccardo Scandariato, Wouter Joosen,
Empirical evaluation of a privacy-focused threat modeling methodology,
Journal of Systems and Software, Volume 96, 2014,
 
8) Yili Ren and others, "Person Re-identification in 3D Space: A WiFi Vision-based Approach", USENIX Security, 2023
 
9)  Dantcheva, Antitza, Petros Elia, and Arun Ross. "What else does your  biometric data reveal? A survey on soft biometrics." IEEE Transactions  on Information Forensics   and Security 11.3 (2015): 441-467.
 
10) Fiore, Marco, et al. "Privacy in trajectory micro-data publishing: a survey." Transactions on Data Privacy 13 (2020): 91-149.
     
Reading Groups:
Tue:
1 Idvorean
2 Dormann
3 Marx
4 Castro
5 Knapp
6 Springer
7 Nguyen
8 Stuber
9 Djouadi
10 Zetto
 
Thu
1 Junge
2 Schall
3 Fabricius
4 Knirsch
5 Sauer
6 Dissert
7 Baumgarten-Egemole
9 Schmack
 
 
 
 
 
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Everything below is old, to be ignored
 
 
 
 
 
1) Wagner, Isabel, and David Eckhoff. "Technical privacy metrics: a systematic survey." ACM Computing Surveys (CSUR) 51.3 (2018): 1-38.
 
 
 
It's all in your head(set): Side-channel attacks on AR/VR systems
Authors: Yicheng Zhang, Carter Slocum, Jiasi Chen, and Nael Abu-Ghazaleh, University of California, Riverside
 
Person Re-identification in 3D Space: A WiFi Vision-based Approach
Authors: 
Yili Ren and Yichao Wang, Florida State University; Sheng Tan, Trinity University; Yingying Chen, Rutgers University; Jie Yang, Florida State University
 
Kuhn, Christiane, et al. "On Privacy Notions in Anonymous   Communication." Proceedings on Privacy Enhancing Technologies 2 (2019):   105-125.   
               
6) G.  Acs, C. Castelluccia and  R.  Chen, "Differentially Private Histogram  Publishing through Lossy   Compression," 2012 IEEE 12th International  Conference on   Data Mining,   Brussels, 2012, pp. 1-10.
               
7) M.    K. Reiter, A. D.  Rubin, "Crowds: Anonymity for Web transactions",  ACM   Trans. Inform.  Syst. Secur., vol. 1, no. 1, pp. 66-92, 1998.    
                
9) Armknecht, Frederik, and  Thorsten Strufe. "An efficient distributed privacy-preserving  recommendation system." 2011 The 10th IFIP Annual Mediterranean Ad Hoc    Networking Workshop. IEEE, 2011.