Attack on practical speaker verification system using universal
adversarial perturbations

Attack on practical speaker verification system using universal adversarial perturbations

19 May 2021

Xingliang Cheng

Papers citing "Attack on practical speaker verification system using universal adversarial perturbations"

11 / 11 papers shown

Title
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 98 3 0 20 Nov 2023
Learning to fool the speaker recognition Jiguo Li Xinfeng Zhang Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 41 21 0 07 Apr 2020
Universal Adversarial Perturbations Generative Network for Speaker Recognition Jiguo Li Xinfeng Zhang Chuanmin Jia Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 40 46 0 07 Apr 2020
In defence of metric learning for speaker recognition Joon Son Chung Jaesung Huh Seongkyu Mun Minjae Lee Hee-Soo Heo Soyeon Choe Chiheon Ham Sung-Ye Jung Bong-Jin Lee Icksang Han 54 436 0 26 Mar 2020
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems Yi Xie Cong Shi Zhuohang Li Jian-Dong Liu Yingying Chen Bo Yuan AAML 106 98 0 04 Mar 2020
Adversarial Attacks on GMM i-vector based Speaker Verification Systems Xu Li Jinghua Zhong Xixin Wu Jianwei Yu Xunying Liu Helen Meng AAML 48 79 0 08 Nov 2019
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems Guangke Chen Sen Chen Lingling Fan Xiaoning Du Zhe Zhao Fu Song Yang Liu AAML 81 196 0 03 Nov 2019
Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification Songxiang Liu Haibin Wu Hung-yi Lee Helen Meng AAML 50 65 0 19 Oct 2019
Utterance-level Aggregation For Speaker Recognition In The Wild Weidi Xie Arsha Nagrani Joon Son Chung Andrew Zisserman 52 344 0 26 Feb 2019
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 285 12,060 0 19 Jun 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 245 8,548 0 16 Aug 2016