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2207.12816
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Generative Extraction of Audio Classifiers for Speaker Identification
26 July 2022
Tejumade Afonja
Lucas Bourtoule
Varun Chandrasekaran
Sageev Oore
Nicolas Papernot
AAML
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Papers citing
"Generative Extraction of Audio Classifiers for Speaker Identification"
34 / 34 papers shown
Title
Data-Free Model Extraction
Jean-Baptiste Truong
Pratyush Maini
R. Walls
Nicolas Papernot
MIACV
50
184
0
30 Nov 2020
An End-to-End Audio Classification System based on Raw Waveforms and Mix-Training Strategy
Jiaxu Chen
Jing Hao
Kai Chen
Di Xie
Shicai Yang
Shiliang Pu
AI4TS
23
3
0
21 Nov 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACV
MLAU
71
198
0
27 Oct 2019
Label-efficient audio classification through multitask learning and self-supervision
Tyler Lee
Ting Gong
Suchismita Padhy
Andrew Rouditchenko
A. Ndirango
SSL
VLM
37
7
0
19 Oct 2019
High Fidelity Speech Synthesis with Adversarial Networks
Mikolaj Binkowski
Jeff Donahue
Sander Dieleman
Aidan Clark
Erich Elsen
Norman Casagrande
Luis C. Cobo
Karen Simonyan
265
240
0
25 Sep 2019
High Accuracy and High Fidelity Extraction of Neural Networks
Matthew Jagielski
Nicholas Carlini
David Berthelot
Alexey Kurakin
Nicolas Papernot
MLAU
MIACV
68
377
0
03 Sep 2019
Deep Learning for Audio Signal Processing
Hendrik Purwins
Yue Liu
Tuomas Virtanen
Jan Schlüter
Shuo-yiin Chang
Tara N. Sainath
VLM
55
589
0
30 Apr 2019
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems
Tianyu Du
S. Ji
Jinfeng Li
Qinchen Gu
Ting Wang
R. Beyah
AAML
40
129
0
23 Jan 2019
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy
Bernt Schiele
Mario Fritz
MLAU
67
531
0
06 Dec 2018
Exploring Connections Between Active Learning and Model Extraction
Varun Chandrasekaran
Kamalika Chaudhuri
Irene Giacomelli
Shane Walker
Songbai Yan
MIACV
138
158
0
05 Nov 2018
Robust Audio Adversarial Example for a Physical Attack
Hiromu Yakura
Jun Sakuma
AAML
43
191
0
28 Oct 2018
Hierarchical Generative Modeling for Controllable Speech Synthesis
Wei-Ning Hsu
Yu Zhang
Ron J. Weiss
Heiga Zen
Yonghui Wu
...
Ye Jia
Zhiwen Chen
Jonathan Shen
Patrick Nguyen
Ruoming Pang
BDL
44
275
0
16 Oct 2018
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques
Dorjan Hitaj
L. Mancini
AAML
26
54
0
03 Sep 2018
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli
Yoshua Bengio
97
706
0
29 Jul 2018
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Ye Jia
Yu Zhang
Ron J. Weiss
Quan Wang
Jonathan Shen
...
Zhiwen Chen
Patrick Nguyen
Ruoming Pang
Ignacio López Moreno
Yonghui Wu
240
826
0
12 Jun 2018
Targeted Adversarial Examples for Black Box Audio Systems
Rohan Taori
Amog Kamsetty
Brenton Chu
N. Vemuri
AAML
36
182
0
20 May 2018
PRADA: Protecting against DNN Model Stealing Attacks
Mika Juuti
S. Szyller
Samuel Marchal
Nadarajah Asokan
SILM
AAML
61
441
0
07 May 2018
Randomly weighted CNNs for (music) audio classification
Jordi Pons
Xavier Serra
52
85
0
01 May 2018
Adversarial Audio Synthesis
Chris Donahue
Julian McAuley
M. Puckette
GAN
118
609
0
12 Feb 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
68
1,076
0
05 Jan 2018
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures
Jongpil Lee
Taejun Kim
Jiyoung Park
Juhan Nam
28
67
0
04 Dec 2017
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
240
9,687
0
25 Oct 2017
Evasion Attacks against Machine Learning at Test Time
Battista Biggio
Igino Corona
Davide Maiorca
B. Nelson
Nedim Srndic
Pavel Laskov
Giorgio Giacinto
Fabio Roli
AAML
101
2,142
0
21 Aug 2017
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
139
2,854
0
14 Mar 2017
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
303
7,361
0
12 Sep 2016
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
SILM
MLAU
76
1,798
0
09 Sep 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
268
7,951
0
23 May 2016
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
288
10,149
0
16 Mar 2016
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
49
3,660
0
08 Feb 2016
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAtt
AI4CE
99
1,866
0
22 Jun 2015
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
238
19,523
0
09 Mar 2015
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
185
14,831
1
21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
194
7,252
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
327
15,825
0
12 Nov 2013
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