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DAWN: Dynamic Adversarial Watermarking of Neural Networks

DAWN: Dynamic Adversarial Watermarking of Neural Networks

3 June 2019
S. Szyller
B. Atli
Samuel Marchal
Nadarajah Asokan
    MLAU
    AAML
ArXivPDFHTML

Papers citing "DAWN: Dynamic Adversarial Watermarking of Neural Networks"

26 / 26 papers shown
Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain
ChainMarks: Securing DNN Watermark with Cryptographic Chain
Brian Choi
Shu Wang
Isabelle Choi
Kun Sun
46
0
0
08 May 2025
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks
Yixiao Xu
Binxing Fang
Rui Wang
Yinghai Zhou
S. Ji
Yuan Liu
Mohan Li
Zhihong Tian
MIACV
AAML
63
0
0
20 Jan 2025
Watermarking Decision Tree Ensembles
Watermarking Decision Tree Ensembles
Stefano Calzavara
Lorenzo Cazzaro
Donald Gera
S. Orlando
WaLM
30
0
0
06 Oct 2024
On the Weaknesses of Backdoor-based Model Watermarking: An
  Information-theoretic Perspective
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective
Aoting Hu
Yanzhi Chen
Renjie Xie
Adrian Weller
38
0
0
10 Sep 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction
GENIE: Watermarking Graph Neural Networks for Link Prediction
Venkata Sai Pranav Bachina
Ankit Gangwal
Aaryan Ajay Sharma
Charu Sharma
50
1
0
07 Jun 2024
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing
  Inference Serving Systems
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems
Debopam Sanyal
Jui-Tse Hung
Manavi Agrawal
Prahlad Jasti
Shahab Nikkhoo
S. Jha
Tianhao Wang
Sibin Mohan
Alexey Tumanov
26
0
0
03 Jul 2023
The False Promise of Imitating Proprietary LLMs
The False Promise of Imitating Proprietary LLMs
Arnav Gudibande
Eric Wallace
Charles Burton Snell
Xinyang Geng
Hao Liu
Pieter Abbeel
Sergey Levine
Dawn Song
ALM
27
196
0
25 May 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
Asim Waheed
Vasisht Duddu
Nadarajah Asokan
19
9
0
17 Apr 2023
Effective Ambiguity Attack Against Passport-based DNN Intellectual
  Property Protection Schemes through Fully Connected Layer Substitution
Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution
Yiming Chen
Jinyu Tian
Xiangyu Chen
Jiantao Zhou
AAML
24
10
0
21 Mar 2023
High-frequency Matters: An Overwriting Attack and defense for
  Image-processing Neural Network Watermarking
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking
Huajie Chen
Tianqing Zhu
Chi Liu
Shui Yu
Wanlei Zhou
AAML
15
3
0
17 Feb 2023
On Function-Coupled Watermarks for Deep Neural Networks
On Function-Coupled Watermarks for Deep Neural Networks
Xiangyu Wen
Yu Li
Weizhen Jiang
Qian-Lan Xu
AAML
21
1
0
08 Feb 2023
Watermarking in Secure Federated Learning: A Verification Framework
  Based on Client-Side Backdooring
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Wenyuan Yang
Shuo Shao
Yue Yang
Xiyao Liu
Ximeng Liu
Zhihua Xia
Gerald Schaefer
Hui Fang
FedML
6
21
0
14 Nov 2022
Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural
  Networks
Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks
Run Wang
Jixing Ren
Boheng Li
Tianyi She
Wenhui Zhang
Liming Fang
Jing Chen
Chao Shen
Lina Wang
WIGM
27
16
0
14 Oct 2022
Careful What You Wish For: on the Extraction of Adversarially Trained
  Models
Careful What You Wish For: on the Extraction of Adversarially Trained Models
Kacem Khaled
Gabriela Nicolescu
F. Magalhães
MIACV
AAML
19
4
0
21 Jul 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine
  Learning Models and Defences
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
29
106
0
16 Jun 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial
  Perturbations
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations
Zirui Peng
Shaofeng Li
Guoxing Chen
Cheng Zhang
Haojin Zhu
Minhui Xue
AAML
FedML
23
66
0
17 Feb 2022
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for
  Machine Learning
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Vasisht Duddu
S. Szyller
Nadarajah Asokan
16
12
0
04 Dec 2021
Protect the Intellectual Property of Dataset against Unauthorized Use
Protect the Intellectual Property of Dataset against Unauthorized Use
Mingfu Xue
Yinghao Wu
Yushu Zhang
Jian Wang
Weiqiang Liu
22
4
0
16 Sep 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
28
86
0
11 Aug 2021
Exploring Structure Consistency for Deep Model Watermarking
Exploring Structure Consistency for Deep Model Watermarking
Jie M. Zhang
Dongdong Chen
Jing Liao
Han Fang
Zehua Ma
Weiming Zhang
G. Hua
Nenghai Yu
AAML
14
4
0
05 Aug 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based
  Explainable AI
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
T. Miura
Satoshi Hasegawa
Toshiki Shibahara
SILM
MIACV
11
37
0
19 Jul 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks
HODA: Hardness-Oriented Detection of Model Extraction Attacks
A. M. Sadeghzadeh
Amir Mohammad Sobhanian
F. Dehghan
R. Jalili
MIACV
9
7
0
21 Jun 2021
A survey of deep neural network watermarking techniques
A survey of deep neural network watermarking techniques
Yue Li
Hongxia Wang
Mauro Barni
26
140
0
16 Mar 2021
Model extraction from counterfactual explanations
Model extraction from counterfactual explanations
Ulrich Aivodji
Alexandre Bolot
Sébastien Gambs
MIACV
MLAU
25
51
0
03 Sep 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas
Yuxuan Zhang
Florian Kerschbaum
MLAU
FedML
AAML
22
144
0
02 Dec 2019
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Extraction of Complex DNN Models: Real Threat or Boogeyman?
B. Atli
S. Szyller
Mika Juuti
Samuel Marchal
Nadarajah Asokan
MLAU
MIACV
19
45
0
11 Oct 2019
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