ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.02069
  4. Cited By
Model Extraction and Defenses on Generative Adversarial Networks

Model Extraction and Defenses on Generative Adversarial Networks

6 January 2021
Hailong Hu
Jun Pang
    SILMMIACV
ArXiv (abs)PDFHTML

Papers citing "Model Extraction and Defenses on Generative Adversarial Networks"

50 / 58 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,150
0
01 Mar 2022
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
Basel Alomair
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAUSILM
509
1,946
0
14 Dec 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
MLAUMIACVOffRL
77
45
0
09 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
877
42,379
0
28 May 2020
Cryptanalytic Extraction of Neural Network Models
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedMLMLAUMIACVAAML
133
136
0
10 Mar 2020
Entangled Watermarks as a Defense against Model Extraction
Entangled Watermarks as a Defense against Model Extraction
Hengrui Jia
Christopher A. Choquette-Choo
Varun Chandrasekaran
Nicolas Papernot
WaLMAAML
77
220
0
27 Feb 2020
Model Extraction Attacks against Recurrent Neural Networks
Model Extraction Attacks against Recurrent Neural Networks
Tatsuya Takemura
Naoto Yanai
T. Fujiwara
MLAUMIACVAAML
51
15
0
01 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
314
5,828
0
03 Dec 2019
Towards Security Threats of Deep Learning Systems: A Survey
Towards Security Threats of Deep Learning Systems: A Survey
Yingzhe He
Guozhu Meng
Kai Chen
Xingbo Hu
Jinwen He
AAMLELM
56
14
0
28 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
MIACVMLAU
112
201
0
27 Oct 2019
Seeing What a GAN Cannot Generate
Seeing What a GAN Cannot Generate
David Bau
Jun-Yan Zhu
Jonas Wulff
William S. Peebles
Hendrik Strobelt
Bolei Zhou
Antonio Torralba
GAN
97
309
0
24 Oct 2019
Subsampling Generative Adversarial Networks: Density Ratio Estimation in
  Feature Space with Softplus Loss
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
Xin Ding
Z. Jane Wang
William J. Welch
124
18
0
24 Sep 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
MLAUMIACV
81
380
0
03 Sep 2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBMGAN
121
1,123
0
25 Jul 2019
On the Privacy Risks of Model Explanations
On the Privacy Risks of Model Explanations
Reza Shokri
Martin Strobel
Yair Zick
MIACVPILMSILMFAtt
92
37
0
29 Jun 2019
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancy
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
127
423
0
14 Jun 2019
Reconstruction and Membership Inference Attacks against Generative
  Models
Reconstruction and Membership Inference Attacks against Generative Models
Benjamin Hilprecht
Martin Härterich
Daniel Bernau
AAMLMIACV
70
191
0
07 Jun 2019
Few-Shot Unsupervised Image-to-Image Translation
Few-Shot Unsupervised Image-to-Image Translation
Ming-Yuan Liu
Xun Huang
Arun Mallya
Tero Karras
Timo Aila
J. Lehtinen
Jan Kautz
62
610
0
05 May 2019
COCO-GAN: Generation by Parts via Conditional Coordinating
COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin
Chia-Che Chang
Yu-Sheng Chen
Da-Cheng Juan
Wei Wei
Hwann-Tzong Chen
68
135
0
30 Mar 2019
Fine-tune BERT for Extractive Summarization
Fine-tune BERT for Extractive Summarization
Yang Liu
70
486
0
25 Mar 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
166
2,691
0
18 Mar 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer Labels
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GANOOD
91
158
0
06 Mar 2019
BioBERT: a pre-trained biomedical language representation model for
  biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
180
5,672
0
25 Jan 2019
Passage Re-ranking with BERT
Passage Re-ranking with BERT
Rodrigo Nogueira
Kyunghyun Cho
OOD
126
1,096
0
13 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
606
10,590
0
12 Dec 2018
Knockoff Nets: Stealing Functionality of Black-Box Models
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy
Bernt Schiele
Mario Fritz
MLAU
105
537
0
06 Dec 2018
Metropolis-Hastings Generative Adversarial Networks
Metropolis-Hastings Generative Adversarial Networks
Ryan D. Turner
Jane Hung
Eric Frank
Yunus Saatci
J. Yosinski
GAN
63
99
0
28 Nov 2018
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
205
159
0
05 Nov 2018
Discriminator Rejection Sampling
Discriminator Rejection Sampling
S. Azadi
Catherine Olsson
Trevor Darrell
Ian Goodfellow
Augustus Odena
64
131
0
16 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
269
5,403
0
28 Sep 2018
Model Reconstruction from Model Explanations
Model Reconstruction from Model Explanations
S. Milli
Ludwig Schmidt
Anca Dragan
Moritz Hardt
FAtt
61
178
0
13 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and
  Defenses on Machine Learning Models
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACVMIALM
102
950
0
04 Jun 2018
On GANs and GMMs
On GANs and GMMs
Eitan Richardson
Yair Weiss
GAN
175
152
0
31 May 2018
PRADA: Protecting against DNN Model Stealing Attacks
PRADA: Protecting against DNN Model Stealing Attacks
Mika Juuti
S. Szyller
Samuel Marchal
Nadarajah Asokan
SILMAAML
70
443
0
07 May 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
201
1,370
0
02 May 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
162
4,444
0
16 Feb 2018
Optimal transport maps for distribution preserving operations on latent
  spaces of Generative Models
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models
E. Agustsson
Alexander Sage
Radu Timofte
Luc Van Gool
DRLOT
97
28
0
06 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
166
7,376
0
27 Oct 2017
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
Wenqi Xian
Patsorn Sangkloy
Varun Agrawal
Amit Raj
Jingwan Lu
Chen Fang
Feng Yu
James Hays
GAN3DV
85
280
0
09 Jun 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
181
4,372
0
20 Mar 2017
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
90
459
0
13 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
122
2,728
0
10 Dec 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
438
3,215
0
30 Oct 2016
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
272
4,159
0
18 Oct 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
82
1,399
0
12 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
SILMMLAU
109
1,810
0
09 Sep 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
282
8,583
0
16 Aug 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
216
6,162
0
01 Jul 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
486
9,067
0
10 Jun 2016
12
Next