English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This work presents RiDDLE, short for Reversible and DiversifiedDe-identification with Latent Encryptor, to protect the identity information ofpeople from being misused. Built upon a pre-learned StyleGAN2 generator, RiDDLEmanages to encrypt and decrypt the facial identity within the latent space. Thedesign of RiDDLE has three appealing properties. First, the encryption processis cipher-guided and hence allows diverse anonymization using differentpasswords. Second, the true identity can only be decrypted with the correctpassword, otherwise the system will produce another de-identified face tomaintain the privacy. Third, both encryption and decryption share an efficientimplementation, benefiting from a carefully tailored lightweight encryptor.Comparisons with existing alternatives confirm that our approach accomplishesthe de-identification task with better quality, higher diversity, and strongerreversibility. We further demonstrate the effectiveness of RiDDLE inanonymizing videos. Code and models will be made publicly available.

RiDDLE: Reversible and Diversified De-identification with Latent Encryptor