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Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based
  sample selection

Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection

8 November 2023
Akshit Jindal
Vikram Goyal
Saket Anand
Chetan Arora
    FedML
ArXiv (abs)PDFHTML

Papers citing "Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection"

13 / 13 papers shown
Title
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
101
65
0
27 Jan 2022
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing
  Attack
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack
Yixu Wang
Jie Li
Hong Liu
Yan Wang
Yongjian Wu
Feiyue Huang
Rongrong Ji
AAML
77
36
0
03 May 2021
Model Extraction and Adversarial Transferability, Your BERT is
  Vulnerable!
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
Xuanli He
Lingjuan Lyu
Xingliang Yuan
Lichao Sun
MIACVSILM
79
96
0
18 Mar 2021
Data-Free Model Extraction
Data-Free Model Extraction
Jean-Baptiste Truong
Pratyush Maini
R. Walls
Nicolas Papernot
MIACV
77
188
0
30 Nov 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
56
35
0
17 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
157
3,558
0
21 Jan 2020
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
237
3,490
0
30 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
142
18,134
0
28 May 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
200
158
0
05 Nov 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
310
12,069
0
19 Jun 2017
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
107
1,807
0
09 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,813
0
25 Aug 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAUAAML
75
3,678
0
08 Feb 2016
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