Deep Learning for Privacy in Multimedia

被引：3
|
作者：
Cavallaro, Andrea [1 ]
Malekzadeh, Mohammad [1 ]
Shamsabadi, Ali Shahin [1 ]
机构：
[1] Queen Mary Univ London, Ctr Intelligent Sensing, London, England
来源：
MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA | 2020年
基金：
英国工程与自然科学研究理事会;
关键词：
Privacy; Multimedia; Personal Information; Adversarial Examples; Data Transformations;
D O I：
10.1145/3394171.3418551
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We discuss the design and evaluation of machine learning algorithms that provide users with more control on the multimedia information they share. We introduce privacy threats for multimedia data and key features of privacy protection. We cover privacy threats and mitigating actions for images, videos, and motion-sensor data from mobile and wearable devices, and their protection from unwanted, automatic inferences. The tutorial offers theoretical explanations followed by examples with software developed by the presenters and distributed as open source.
引用
收藏
页码：4777 / 4778
页数：2
相关论文
共 50 条
  • [1] Deep Bayesian Multimedia Learning
    Chien, Jen-Tzung
    MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, 2020, : 4791 - 4793
  • [2] Towards Privacy in Deep Learning
    Kerschbaum, Florian
    2021 THIRD IEEE INTERNATIONAL CONFERENCE ON TRUST, PRIVACY AND SECURITY IN INTELLIGENT SYSTEMS AND APPLICATIONS (TPS-ISA 2021), 2021, : 279 - 280
  • [3] Workshop on Multimedia Privacy and Security
    Hallman, Roger
    Rohloff, Kurt
    Chang, Victor
    CCS'17: PROCEEDINGS OF THE 2017 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, 2017, : 2645 - 2646
  • [4] MULTIMEDIA FOR DEEP LEARNING IN A DEVELOPING CONTEXT
    van Vuuren, D. M.
    EDULEARN11: 3RD INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2011, : 314 - 323
  • [5] Privacy-Preserving Deep Learning
    Shokri, Reza
    Shmatikov, Vitaly
    CCS'15: PROCEEDINGS OF THE 22ND ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, 2015, : 1310 - 1321
  • [6] Panel: Privacy Protection in Online Multimedia
    Lu, Yung-Hsiang
    Cavallaro, Andrea
    Crump, Catherine
    Friedland, Gerald
    Winstein, Keith
    PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17), 2017, : 457 - 459
  • [7] Deep learning in multimedia healthcare applications: a review
    Tobon, Diana P., V
    Hossain, M. Shamim
    Muhammad, Ghulam
    Bilbao, Josu
    El Saddik, Abdulmotaleb
    MULTIMEDIA SYSTEMS, 2022, 28 (04) : 1465 - 1479
  • [8] Deep learning in multimedia healthcare applications: a review
    Diana P. Tobón
    M. Shamim Hossain
    Ghulam Muhammad
    Josu Bilbao
    Abdulmotaleb El Saddik
    Multimedia Systems, 2022, 28 : 1465 - 1479
  • [9] Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks
    Kotevska, Olivera
    Alamudun, Folami
    Stanley, Christopher
    2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2021), 2021, : 425 - 430
  • [10] When Deep Learning Meets Differential Privacy: Privacy,Security, and More
    Li, Xinyan
    Chen, Yufei
    Wang, Cong
    Shen, Chao
    IEEE NETWORK, 2021, 35 (06): : 148 - 155
12345