Inference Attacks for X-Vector Speaker Anonymization

We revisit the privacy-utility tradeoff of x-vector speaker anonymization. Existing approaches quantify privacy through training complex speaker verification or identification models that are later used as attacks. Instead, we propose a novel inference attack for de-anonymization. Our attack is...

Exploit for Missing Authentication for Critical Function in Webcraftic Woody_Ad_Snippets

CVE-2019-15858 Unauthenticated Remote Code Execution at Wood...