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
  • [21] Protecting Multimedia Privacy from Both Humans and AI
    Liu, Bo
    Xiong, Jian
    Wu, Yiyan
    Ding, Ming
    Wu, Cynthia M.
    2019 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB), 2019,
  • [22] A Blockchain based approach for multimedia privacy protection and provenance
    Vishwa, Alka
    Hussain, Farookh Khadeer
    2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2018, : 1941 - 1945
  • [23] SCALABLE CLOUD SERVICE FOR MULTIMEDIA ANALYSIS BASED ON DEEP LEARNING
    Bao, Bing-Kun
    Xiang, Yangyang
    Li, Lusong
    Lyu, Shuen
    Munshi, Harsh
    Zhu, Honghong
    2018 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW 2018), 2018,
  • [24] Deep learning based on multimedia encoding to enhance video quality
    Challa, Nagendra Panini
    Shanmuganathan, C.
    Shobana, M.
    Deepthi, Ch. Venkata Sasi
    Bharathiraja, N.
    INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2023, 29 (05) : 475 - 492
  • [25] Interpretable video tag recommendation with multimedia deep learning framework
    Yang, Zekun
    Lin, Zhijie
    INTERNET RESEARCH, 2022, 32 (02) : 518 - 535
  • [26] 2nd International Workshop on Multimedia Privacy and Security
    Hallman, Roger A.
    Li, Shujun
    Chang, Victor
    PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18), 2018, : 2173 - 2174
  • [27] Media Gateway: bringing privacy to private multimedia cloud connections
    Diaz-Sanchez, Daniel
    Almenarez, Florina
    Marin, Andres
    Sanchez-Guerrero, Rosa
    Arias, Patricia
    TELECOMMUNICATION SYSTEMS, 2014, 55 (02) : 315 - 330
  • [28] Using Adversarial Noises to Protect Privacy in Deep Learning Era
    Liu, Bo
    Ding, Ming
    Zhu, Tianqing
    Xiang, Yong
    Zhou, Wanlei
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [29] Privacy-Preserving Federated Deep Learning With Irregular Users
    Xu, Guowen
    Li, Hongwei
    Zhang, Yun
    Xu, Shengmin
    Ning, Jianting
    Deng, Robert H.
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2022, 19 (02) : 1364 - 1381
  • [30] Privacy-Preserving Collaborative Deep Learning With Unreliable Participants
    Zhao, Lingchen
    Wang, Qian
    Zou, Qin
    Zhang, Yan
    Chen, Yanjiao
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 15 : 1486 - 1500
12345