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PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation
  of Teacher Ensembles for Spoken Command Classification

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification

2 April 2021
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Chin-Hui Lee
ArXivPDFHTML

Papers citing "PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification"

9 / 9 papers shown
Title
Differentially Private Adapters for Parameter Efficient Acoustic
  Modeling
Differentially Private Adapters for Parameter Efficient Acoustic Modeling
Chun-Wei Ho
Chao-Han Huck Yang
Sabato Marco Siniscalchi
26
1
0
19 May 2023
Private Multi-Winner Voting for Machine Learning
Private Multi-Winner Voting for Machine Learning
Adam Dziedzic
Christopher A. Choquette-Choo
Natalie Dullerud
Vinith Suriyakumar
Ali Shahin Shamsabadi
Muhammad Ahmad Kaleem
S. Jha
Nicolas Papernot
Xiao Wang
42
1
0
23 Nov 2022
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling
  to Differential Privacy Preserving Speech Recognition
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition
Chao-Han Huck Yang
Jun Qi
Sabato Marco Siniscalchi
Chin-Hui Lee
26
4
0
12 Oct 2022
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
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble
  Private Learning
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning
Jiaqi Wang
R. Schuster
Ilia Shumailov
David Lie
Nicolas Papernot
FedML
33
3
0
22 Sep 2022
When BERT Meets Quantum Temporal Convolution Learning for Text
  Classification in Heterogeneous Computing
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
Chao-Han Huck Yang
Jun Qi
Samuel Yen-Chi Chen
Yu Tsao
Pin-Yu Chen
22
53
0
17 Feb 2022
Voice2Series: Reprogramming Acoustic Models for Time Series
  Classification
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Chao-Han Huck Yang
Yun-Yun Tsai
Pin-Yu Chen
AI4TS
29
122
0
17 Jun 2021
Longer Version for "Deep Context-Encoding Network for Retinal Image
  Captioning"
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"
Jia-Hong Huang
Ting-Wei Wu
Chao-Han Huck Yang
M. Worring
MedIm
20
28
0
30 May 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,824
0
14 Dec 2020
1