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1912.03959
Cited By
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data
9 December 2019
Itay Mosafi
E. David
N. Netanyahu
MLAU
Re-assign community
ArXiv (abs)
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Papers citing
"Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data"
5 / 5 papers shown
Title
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
Vlad Hondru
Radu Tudor Ionescu
DiffM
97
2
0
29 Sep 2023
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks
Isabell Lederer
Rudolf Mayer
Andreas Rauber
98
19
0
22 Apr 2023
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
114
114
0
16 Jun 2022
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models?
Jacson Rodrigues Correia-Silva
Rodrigo Berriel
C. Badue
Alberto F. de Souza
Thiago Oliveira-Santos
MLAU
61
15
0
21 Jan 2021
DeepMimic: Mentor-Student Unlabeled Data Based Training
Itay Mosafi
E. David
N. Netanyahu
59
6
0
24 Nov 2019
1