Search Results for author: Haibin Wu

Found 10 papers, 5 papers with code

Spotting adversarial samples for speaker verification by neural vocoders

1 code implementation1 Jul 2021 Haibin Wu, Po-chun Hsu, Ji Gao, Shanshan Zhang, Shen Huang, Jian Kang, Zhiyong Wu, Helen Meng, Hung-Yi Lee

This effort is, to the best of our knowledge, among the first to pursue such a technical direction for detecting adversarial samples for ASV, and hence there is a lack of established baselines for comparison.

Speaker Verification

Voting for the right answer: Adversarial defense for speaker verification

1 code implementation15 Jun 2021 Haibin Wu, Yang Zhang, Zhiyong Wu, Dong Wang, Hung-Yi Lee

Automatic speaker verification (ASV) is a well developed technology for biometric identification, and has been ubiquitous implemented in security-critic applications, such as banking and access control.

Adversarial Defense Speaker Verification

Tackling Variabilities in Autonomous Driving

no code implementations21 Apr 2021 Yuqiong Qi, Yang Hu, Haibin Wu, Shen Li, Haiyu Mao, Xiaochun Ye, Dongrui Fan, Ninghui Sun

In this work, we aim to extensively explore the above system design challenges and these challenges motivate us to propose a comprehensive framework that synergistically handles the heterogeneous hardware accelerator design principles, system design criteria, and task scheduling mechanism.

Autonomous Driving

Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning

1 code implementation6 Feb 2021 Jian Hu, Siyang Jiang, Seth Austin Harding, Haibin Wu, Shih-wei Liao

Multi-Agent Reinforcement Learning (MARL) has seen revolutionary breakthroughs with its successful application to multi-agent cooperative tasks such as computer games and robot swarms.

SMAC Starcraft

QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning

no code implementations9 Sep 2020 Jian Hu, Seth Austin Harding, Haibin Wu, Siyue Hu, Shih-wei Liao

Existing methods such as Value Decomposition Network (VDN) and QMIX estimate the value of long-term returns as a scalar that does not contain the information of randomness.

SMAC Starcraft

Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning

4 code implementations5 Jun 2020 Haibin Wu, Andy T. Liu, Hung-Yi Lee

To explore this issue, we proposed to employ Mockingjay, a self-supervised learning based model, to protect anti-spoofing models against adversarial attacks in the black-box scenario.

Self-Supervised Learning Speaker Verification +1

Defense against adversarial attacks on spoofing countermeasures of ASV

no code implementations6 Mar 2020 Haibin Wu, Songxiang Liu, Helen Meng, Hung-Yi Lee

Various forefront countermeasure methods for automatic speaker verification (ASV) with considerable performance in anti-spoofing are proposed in the ASVspoof 2019 challenge.

Speaker Verification

Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification

1 code implementation19 Oct 2019 Songxiang Liu, Haibin Wu, Hung-Yi Lee, Helen Meng

High-performance spoofing countermeasure systems for automatic speaker verification (ASV) have been proposed in the ASVspoof 2019 challenge.

Speaker Verification

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