LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification

2 November 2022

Papers citing "LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification"

8 / 8 papers shown

Title
Neural Codec-based Adversarial Sample Detection for Speaker Verification Xuanjun Chen Jiawei Du Haibin Wu Jyh-Shing Roger Jang Hung-yi Lee 32 2 0 07 Jun 2024
Scalable Ensemble-based Detection Method against Adversarial Attacks for speaker verification Haibin Wu Heng-Cheng Kuo Yu Tsao Hung-yi Lee AAML 24 1 0 14 Dec 2023
Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification Tianchi Liu Kong Aik Lee Qiongqiong Wang Haizhou Li VLM 65 13 0 06 Dec 2023
The defender's perspective on automatic speaker verification: An overview Haibin Wu Jiawen Kang Lingwei Meng H. Meng Hung-yi Lee AAML 24 14 0 22 May 2023
Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems Sonal Joshi Jesús Villalba Piotr Żelasko Laureano Moro Velázquez Najim Dehak AAML 32 31 0 22 Jan 2021
Defense against adversarial attacks on spoofing countermeasures of ASV Haibin Wu Songxiang Liu H. Meng Hung-yi Lee AAML 82 52 0 06 Mar 2020
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 214 2,233 0 14 Jun 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016