Face deidentification with generative deep neural networks-Reference-Cited by-同舟云学术

Face deidentification with generative deep neural networks

Author:

Meden Blaž¹,Mallı Refik Can²,Fabijan Sebastjan³,Ekenel Hazım Kemal²,Štruc Vitomir³,Peer Peter¹

Affiliation:

1. Faculty of Computer and Information ScienceUniversity of LjubljanaVečna pot 113SI‐1001LjubljanaSlovenia

2. Department of Computer EngineeringIstanbul Technical University34469 MaslakIstanbulTurkey

3. Faculty of Electrical EngineeringUniversity of LjubljanaTržaška cesta 25SI‐1000LjubljanaSlovenia

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Hrvatska Zaklada za Znanost

European Commission

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

Reference33 articles.

2. Blur filtration fails to preserve privacy for home‐based video conferencing;Neustaedter C.;Trans. Comput.‐Hum. Interact. (TOCHI),2005

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

4. Deep Motion Flow Guided Reversible Face Video De-identification;Face De-identification: Safeguarding Identities in the Digital Era;2024

5. Differential Private Identification Protection for Face Images;Face De-identification: Safeguarding Identities in the Digital Era;2024