Defending Your Voice: Adversarial Attack on Voice Conversion

18 May 2020

Papers citing "Defending Your Voice: Adversarial Attack on Voice Conversion"

9 / 9 papers shown

Title
A Benchmark for Multi-speaker Anonymization Xiaoxiao Miao Ruijie Tao Chang Zeng Xin Wang 49 1 0 08 Jul 2024
Speaker anonymization using orthogonal Householder neural network Xiaoxiao Miao Xin Wang Erica Cooper Junichi Yamagishi N. Tomashenko BDL 26 18 0 30 May 2023
Generating gender-ambiguous voices for privacy-preserving speech recognition Dimitrios Stoidis Andrea Cavallaro 36 14 0 03 Jul 2022
Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models Xiaoxiao Miao Xin Wang Erica Cooper Junichi Yamagishi N. Tomashenko 64 25 0 26 Feb 2022
Toward Degradation-Robust Voice Conversion Chien-yu Huang Kai-Wei Chang Hung-yi Lee 30 7 0 14 Oct 2021
"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World Emily Wenger Max Bronckers Christian Cianfarani Jenna Cryan Angela Sha Haitao Zheng Ben Y. Zhao AAML 35 39 0 20 Sep 2021
Voting for the right answer: Adversarial defense for speaker verification Haibin Wu Yang Zhang Zhiyong Wu Dong Wang Hung-yi Lee AAML 30 25 0 15 Jun 2021
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning Berrak Sisman Junichi Yamagishi Simon King Haizhou Li BDL 41 317 0 09 Aug 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016