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Cryptanalytic Extraction of Neural Network Models

Cryptanalytic Extraction of Neural Network Models

10 March 2020
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
    FedML
    MLAU
    MIACV
    AAML
ArXivPDFHTML

Papers citing "Cryptanalytic Extraction of Neural Network Models"

40 / 90 papers shown
Title
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
88
16
0
20 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Anuj Dubey
Rosario Cammarota
Vikram B. Suresh
Aydin Aysu
AAML
55
32
0
01 Sep 2021
Power-Based Attacks on Spatial DNN Accelerators
Power-Based Attacks on Spatial DNN Accelerators
Ge Li
Mohit Tiwari
Michael Orshansky
55
8
0
28 Aug 2021
SoK: How Robust is Image Classification Deep Neural Network
  Watermarking? (Extended Version)
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
Nils Lukas
Edward Jiang
Xinda Li
Florian Kerschbaum
AAML
96
91
0
11 Aug 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A
  Survey of Challenges and Solutions
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
Eike Petersen
Yannik Potdevin
Esfandiar Mohammadi
Stephan Zidowitz
Sabrina Breyer
...
Sandra Henn
Ludwig Pechmann
M. Leucker
P. Rostalski
Christian Herzog
FaML
AILaw
OOD
64
23
0
20 Jul 2021
An Embedding of ReLU Networks and an Analysis of their Identifiability
An Embedding of ReLU Networks and an Analysis of their Identifiability
Pierre Stock
Rémi Gribonval
116
17
0
20 Jul 2021
An Exact Poly-Time Membership-Queries Algorithm for Extraction a
  three-Layer ReLU Network
An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network
Amit Daniely
Elad Granot
MLAU
36
6
0
20 May 2021
A Review of Confidentiality Threats Against Embedded Neural Network
  Models
A Review of Confidentiality Threats Against Embedded Neural Network Models
Raphael Joud
Pierre-Alain Moëllic
Rémi Bernhard
J. Rigaud
50
6
0
04 May 2021
On managing vulnerabilities in AI/ML systems
On managing vulnerabilities in AI/ML systems
Jonathan M. Spring
April Galyardt
A. Householder
Nathan M. VanHoudnos
17
18
0
22 Jan 2021
Model Extraction and Defenses on Generative Adversarial Networks
Model Extraction and Defenses on Generative Adversarial Networks
Hailong Hu
Jun Pang
SILM
MIACV
71
14
0
06 Jan 2021
A Systematic Review on Model Watermarking for Neural Networks
A Systematic Review on Model Watermarking for Neural Networks
Franziska Boenisch
AAML
38
69
0
25 Sep 2020
Trustworthy AI Inference Systems: An Industry Research View
Trustworthy AI Inference Systems: An Industry Research View
Rosario Cammarota
M. Schunter
Anand Rajan
Fabian Boemer
Ágnes Kiss
...
Aydin Aysu
Fateme S. Hosseini
Chengmo Yang
Eric Wallace
Pam Norton
75
14
0
10 Aug 2020
The Trade-Offs of Private Prediction
The Trade-Offs of Private Prediction
Laurens van der Maaten
Awni Y. Hannun
60
24
0
09 Jul 2020
BoMaNet: Boolean Masking of an Entire Neural Network
BoMaNet: Boolean Masking of an Entire Neural Network
Anuj Dubey
Rosario Cammarota
Aydin Aysu
AAML
50
46
0
16 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit
Stealing Deep Reinforcement Learning Models for Fun and Profit
Kangjie Chen
Shangwei Guo
Tianwei Zhang
Xiaofei Xie
Yang Liu
MLAU
MIACV
OffRL
53
45
0
09 Jun 2020
A Protection against the Extraction of Neural Network Models
A Protection against the Extraction of Neural Network Models
H. Chabanne
Vincent Despiegel
Linda Guiga
FedML
39
5
0
26 May 2020
How to 0wn NAS in Your Spare Time
How to 0wn NAS in Your Spare Time
Sanghyun Hong
Michael Davinroy
Yigitcan Kaya
Dana Dachman-Soled
Tudor Dumitras
54
35
0
17 Feb 2020
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
282
5,810
0
03 Dec 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
307
2,386
0
11 Nov 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACV
MLAU
105
201
0
27 Oct 2019
Reverse-Engineering Deep ReLU Networks
Reverse-Engineering Deep ReLU Networks
David Rolnick
Konrad Paul Kording
74
103
0
02 Oct 2019
High Accuracy and High Fidelity Extraction of Neural Networks
High Accuracy and High Fidelity Extraction of Neural Networks
Matthew Jagielski
Nicholas Carlini
David Berthelot
Alexey Kurakin
Nicolas Papernot
MLAU
MIACV
81
377
0
03 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
137
18,115
0
28 May 2019
A Simple Explanation for the Existence of Adversarial Examples with
  Small Hamming Distance
A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance
A. Shamir
Itay Safran
Eyal Ronen
O. Dunkelman
GAN
AAML
28
94
0
30 Jan 2019
Exploring Connections Between Active Learning and Model Extraction
Exploring Connections Between Active Learning and Model Extraction
Varun Chandrasekaran
Kamalika Chaudhuri
Irene Giacomelli
Shane Walker
Songbai Yan
MIACV
190
158
0
05 Nov 2018
CSI Neural Network: Using Side-channels to Recover Your Artificial
  Neural Network Information
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information
L. Batina
S. Bhasin
Dirmanto Jap
S. Picek
AAML
44
65
0
22 Oct 2018
Model Reconstruction from Model Explanations
Model Reconstruction from Model Explanations
S. Milli
Ludwig Schmidt
Anca Dragan
Moritz Hardt
FAtt
52
177
0
13 Jul 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for
  Regression Learning
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski
Alina Oprea
Battista Biggio
Chang-rui Liu
Cristina Nita-Rotaru
Yue Liu
AAML
85
759
0
01 Apr 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in
  Neural Networks
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini
Chang-rui Liu
Ulfar Erlingsson
Jernej Kos
D. Song
136
1,141
0
22 Feb 2018
Stealing Hyperparameters in Machine Learning
Stealing Hyperparameters in Machine Learning
Binghui Wang
Neil Zhenqiang Gong
AAML
136
466
0
14 Feb 2018
Chameleon: A Hybrid Secure Computation Framework for Machine Learning
  Applications
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications
M. Riazi
Christian Weinert
Oleksandr Tkachenko
Ebrahim M. Songhori
T. Schneider
F. Koushanfar
FedML
46
494
0
10 Jan 2018
Evasion Attacks against Machine Learning at Test Time
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
157
2,151
0
21 Aug 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
315
1,867
0
03 Feb 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
459
5,372
0
05 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
894
6,788
0
26 Sep 2016
Stealing Machine Learning Models via Prediction APIs
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
SILM
MLAU
107
1,805
0
09 Sep 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,247
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
552
27,300
0
01 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
270
14,918
1
21 Dec 2013
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