Protecting real-time video chat against fake facial videos generated by face reenactment

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rapid popularity of cameras on various devices, video chat has become one of the major ways for communication, such as online meetings. However, the recent progress of face reenactment techniques enables attackers to generate fake facial videos and use others’ identities. To protect video chats against fake facial videos, we propose a new defense system to significantly raise the bar for face reenactment-assisted attacks. Compared with existing works, our system has three major strengths. First, our system does not require extra hardware or intense computational resources. Second, it follows the normal video chat process and does not significantly degrade the user experience. Third, our system does not need to collect training data from attackers and new users, which means it can be quickly launched on new devices. We developed a prototype and conducted comprehensive evaluations. Experimental results show that our system can provide an average true acceptance rate of at least 92.5% for legitimate users and reject the attacker with mean accuracy of at least 94.4% for a single detection.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages689-699
Number of pages11
ISBN (Electronic)9781728170022
DOIs
StatePublished - Nov 2020
Event40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020 - Singapore, Singapore
Duration: 29 Nov 20201 Dec 2020

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2020-November

Conference

Conference40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020
Country/TerritorySingapore
CitySingapore
Period29/11/201/12/20

Keywords

  • Face forgery
  • Face liveness detection
  • Real-time video chat

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