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Mitigating Closed-model Adversarial Examples with Bayesian Neural
  Modeling for Enhanced End-to-End Speech Recognition

Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition

17 February 2022
Chao-Han Huck Yang
Zeeshan Ahmed
Yile Gu
Joseph Szurley
Roger Ren
Linda Liu
A. Stolcke
I. Bulyko
    AAML
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Papers citing "Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition"

1 / 1 papers shown
Title
An Experimental Study on Private Aggregation of Teacher Ensemble
  Learning for End-to-End Speech Recognition
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition
Chao-Han Huck Yang
I-Fan Chen
A. Stolcke
Sabato Marco Siniscalchi
Chin-Hui Lee
32
2
0
11 Oct 2022
1