Preserving Privacy in Data Analytics

被引：0
|
作者：
Ghemri, Lila [1 ]
机构：
[1] Texas Southern Univ, Houston, TX 77004 USA
来源：
PROCEEDINGS OF THE ACM INTERNATIONAL WORKSHOP ON SECURITY AND PRIVACY ANALYTICS (IWSPA '19) | 2019年
关键词：
Privacy-preserving methods; privacy; data analytics; tutorial;
D O I：
10.1145/3309182.3311786
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Data Analytics is becoming an essential business tool for many data intensive companies and organizations. However, the increased use of such methods comes with the threat of data disclosure. Privacy-preserving methods have been developed with varying degrees of efficiency with the main goal of protecting individuals' privacy. This tutorial aims at presenting models and techniques of preserving privacy in machine learning and data mining.
引用
收藏
页码：3 / 4
页数：2
相关论文
共 50 条
  • [31] Learning to Live with Privacy-Preserving Analytics
    Acquisti, Alessandro
    Steed, Ryan
    COMMUNICATIONS OF THE ACM, 2023, 66 (07) : 24 - 27
  • [32] Privacy Preserving Predictive Analytics with Smart Meters
    Habtemariam, B.
    Miranskyy, A.
    Miri, A.
    Samet, S.
    Davison, M.
    2016 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2016, 2016, : 190 - 197
  • [33] Privacy-preserving Multi-party Analytics over Arbitrarily Partitioned Data
    Mehnaz, Shagufta
    Bertino, Elisa
    2017 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2017, : 342 - 349
  • [34] Privacy-Preserving and Secure Industrial Big Data Analytics: A Survey and the Research Framework
    Liu, Linbin
    Li, June
    Lv, Jianming
    Wang, Juan
    Zhao, Siyu
    Lu, Qiuyu
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (11): : 18976 - 18999
  • [35] Predicting the Performance of Privacy-Preserving Data Analytics Using Architecture Modelling and Simulation
    Yasaweerasinghelage, Rajitha
    Staples, Mark
    Weber, Ingo
    Paik, Hye-Young
    2018 IEEE 15TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE (ICSA), 2018, : 166 - 175
  • [36] A Privacy Preserving System for AI assisted Video Analytics
    Lachner, Clemens
    Rausch, Thomas
    Dustdar, Schahram
    5TH IEEE INTERNATIONAL CONFERENCE ON FOG AND EDGE COMPUTING (ICFEC 2021), 2021, : 74 - 78
  • [37] Mosaic Privacy-Preserving Mechanisms for Healthcare Analytics
    Krall, Alexander
    Finke, Daniel
    Yang, Hui
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 25 (06) : 2184 - 2192
  • [38] Privacy-Preserving Learning Analytics: Challenges and Techniques
    Gursoy, Mehmet Emre
    Inan, Ali
    Nergiz, Mehmet Ercan
    Saygin, Yucel
    IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2017, 10 (01): : 68 - 81
  • [39] Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data
    van Soest, Johan
    Sun, Chang
    Mussmann, Ole
    Puts, Marco
    van den Berg, Bob
    Malic, Alexander
    van Oppen, Claudia
    Towend, David
    Dekker, Andre
    Dumontier, Michel
    BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH, 2018, 247 : 581 - 585
  • [40] Privacy-Preserving Deep Learning for Enabling Big Edge Data Analytics in Internet of Things
    Guo, Mnigming
    Pissinou, Niki
    Iyengar, S. S.
    2019 TENTH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC), 2019,
12345