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2207.13321
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DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking
27 July 2022
Abhishek Chakraborty
Daniel Xing
Yuntao Liu
Ankur Srivastava
AAML
MLAU
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Papers citing
"DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking"
6 / 6 papers shown
Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2024
Brian Choi
Shu Wang
Isabelle Choi
Kun Sun
147
0
0
08 May 2025
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
Zhan Cheng
Bo Shen
Tianming Sha
Yuan Gao
Shibo Li
Yushun Dong
104
4
0
20 Mar 2025
Watermarking Techniques for Large Language Models: A Survey
Yuqing Liang
Jiancheng Xiao
Wensheng Gan
Philip S. Yu
OffRL
136
14
0
26 Aug 2024
Wide Flat Minimum Watermarking for Robust Ownership Verification of GANs
Jianwei Fei
Zhihua Xia
B. Tondi
Mauro Barni
AAML
130
8
0
25 Oct 2023
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
180
132
0
16 Jun 2022
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions
M. Rigaki
Sebastian Garcia
AAML
142
12
0
13 Apr 2022
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