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  3. 2004.11368
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Neural Network Laundering: Removing Black-Box Backdoor Watermarks from
  Deep Neural Networks

Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks

22 April 2020
William Aiken
Hyoungshick Kim
Simon S. Woo
ArXiv (abs)PDFHTML

Papers citing "Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks"

30 / 30 papers shown
Robust GNN Watermarking via Implicit Perception of Topological Invariants
Robust GNN Watermarking via Implicit Perception of Topological Invariants
Jipeng Li
Yannning Shen
AAML
118
0
0
29 Oct 2025
An Information Asymmetry Game for Trigger-based DNN Model Watermarking
An Information Asymmetry Game for Trigger-based DNN Model Watermarking
Chaoyue Huang
Gejian Zhao
Hanzhou Wu
Zhihua Xia
Asad U. Malik
AAML
122
0
0
16 Oct 2025
ChainMarks: Securing DNN Watermark with Cryptographic Chain
ChainMarks: Securing DNN Watermark with Cryptographic ChainACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025
Brian Choi
Shu Wang
Isabelle Choi
Kun Sun
420
1
0
08 May 2025
Towards the Resistance of Neural Network Watermarking to Fine-tuning
Towards the Resistance of Neural Network Watermarking to Fine-tuning
Ling Tang
YueFeng Chen
Hui Xue
Quanshi Zhang
217
2
0
02 May 2025
Embedding Watermarks in Diffusion Process for Model Intellectual
  Property Protection
Embedding Watermarks in Diffusion Process for Model Intellectual Property Protection
Jijia Yang
Sen Peng
Xiaohua Jia
WIGM
238
0
0
29 Oct 2024
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection
Xiaokun Luan
Xiyue Zhang
Jingyi Wang
Meng Sun
AAML
347
1
0
04 Jul 2024
DeepEclipse: How to Break White-Box DNN-Watermarking Schemes
DeepEclipse: How to Break White-Box DNN-Watermarking Schemes
Alessandro Pegoraro
Carlotta Segna
Kavita Kumari
Ahmad-Reza Sadeghi
AAML
185
2
0
06 Mar 2024
Defenses in Adversarial Machine Learning: A Survey
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Ruotong Wang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
307
24
0
13 Dec 2023
Towards Robust Model Watermark via Reducing Parametric Vulnerability
Towards Robust Model Watermark via Reducing Parametric VulnerabilityIEEE International Conference on Computer Vision (ICCV), 2023
Guanhao Gan
Yiming Li
Dongxian Wu
Shu-Tao Xia
AAML
210
18
0
09 Sep 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
MDTD: A Multi Domain Trojan Detector for Deep Neural NetworksConference on Computer and Communications Security (CCS), 2023
Arezoo Rajabi
Surudhi Asokraj
Feng-Shr Jiang
Luyao Niu
Bhaskar Ramasubramanian
J. Ritcey
Radha Poovendran
AAML
215
4
0
30 Aug 2023
Identifying Appropriate Intellectual Property Protection Mechanisms for
  Machine Learning Models: A Systematization of Watermarking, Fingerprinting,
  Model Access, and Attacks
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and AttacksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Isabell Lederer
Rudolf Mayer
Andreas Rauber
251
31
0
22 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 SubstitutionComputer Vision and Pattern Recognition (CVPR), 2023
Yiming Chen
Jinyu Tian
Xiangyu Chen
Jiantao Zhou
AAML
195
17
0
21 Mar 2023
Rethinking White-Box Watermarks on Deep Learning Models under Neural
  Structural Obfuscation
Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural ObfuscationUSENIX Security Symposium (USENIX Security), 2023
Yifan Yan
Xudong Pan
Mi Zhang
Min Yang
AAML
299
29
0
17 Mar 2023
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of
  Backdoor Effects in Trojaned Machine Learning Models
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning ModelsIEEE Symposium on Security and Privacy (IEEE S&P), 2022
Rui Zhu
Di Tang
Siyuan Tang
Luyi Xing
Haixu Tang
AAMLFedML
231
15
0
09 Dec 2022
Dormant Neural Trojans
Dormant Neural TrojansInternational Conference on Machine Learning and Applications (ICMLA), 2022
Feisi Fu
Panagiota Kiourti
Wenchao Li
AAML
228
0
0
02 Nov 2022
InFIP: An Explainable DNN Intellectual Property Protection Method based
  on Intrinsic Features
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic FeaturesIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Mingfu Xue
Xin Wang
Ying-Chang Wu
S. Ni
Yushu Zhang
Weiqiang Liu
301
6
0
14 Oct 2022
Certified Neural Network Watermarks with Randomized Smoothing
Certified Neural Network Watermarks with Randomized SmoothingInternational Conference on Machine Learning (ICML), 2022
Arpit Bansal
Ping Yeh-Chiang
Michael J. Curry
R. Jain
Curtis Wigington
Varun Manjunatha
John P. Dickerson
Tom Goldstein
AAML
274
58
0
16 Jul 2022
Cracking White-box DNN Watermarks via Invariant Neuron Transforms
Cracking White-box DNN Watermarks via Invariant Neuron TransformsKnowledge Discovery and Data Mining (KDD), 2022
Yifan Yan
Xudong Pan
Yining Wang
Mi Zhang
Min Yang
AAML
152
20
0
30 Apr 2022
Attention Distraction: Watermark Removal Through Continual Learning with
  Selective Forgetting
Attention Distraction: Watermark Removal Through Continual Learning with Selective ForgettingIEEE International Conference on Multimedia and Expo (ICME), 2022
Qi Zhong
L. Zhang
Shengshan Hu
Longxiang Gao
Jun Zhang
Yang Xiang
WIGMAAML
175
6
0
05 Apr 2022
SoK: How Robust is Image Classification Deep Neural Network
  Watermarking? (Extended Version)
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Nils Lukas
Edward Jiang
Xinda Li
Florian Kerschbaum
AAML
242
117
0
11 Aug 2021
Detect and remove watermark in deep neural networks via generative
  adversarial networks
Detect and remove watermark in deep neural networks via generative adversarial networks
Haoqi Wang
Mingfu Xue
Shichang Sun
Yushu Zhang
Jian Wang
Weiqiang Liu
AAML
111
15
0
15 Jun 2021
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse
  Detection
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse DetectionInternational Symposium on Software Testing and Analysis (ISSTA), 2021
Yan Liang
Ziqi Zhang
Bingyan Liu
Ziyue Yang
Yunxin Liu
197
66
0
11 Jun 2021
MISA: Online Defense of Trojaned Models using Misattributions
MISA: Online Defense of Trojaned Models using MisattributionsAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021
Panagiota Kiourti
Wenchao Li
Anirban Roy
Karan Sikka
Susmit Jha
271
10
0
29 Mar 2021
Ownership Verification of DNN Architectures via Hardware Cache Side
  Channels
Ownership Verification of DNN Architectures via Hardware Cache Side Channels
Xiaoxuan Lou
Shangwei Guo
Jiwei Li
Tianwei Zhang
202
13
0
06 Feb 2021
Intellectual Property Protection for Deep Learning Models: Taxonomy,
  Methods, Attacks, and Evaluations
Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and EvaluationsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Mingfu Xue
Yushu Zhang
Jian Wang
Weiqiang Liu
264
69
0
27 Nov 2020
A Systematic Review on Model Watermarking for Neural Networks
A Systematic Review on Model Watermarking for Neural NetworksFrontiers in Big Data (Front. Big Data), 2020
Franziska Boenisch
AAML
273
95
0
25 Sep 2020
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal
  Attack for DNN Models
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Shangwei Guo
Tianwei Zhang
Han Qiu
Yi Zeng
Tao Xiang
Yang Liu
AAML
181
38
0
18 Sep 2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition
  Systems
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
Haoliang Li
Yufei Wang
Xiaofei Xie
Yang Liu
Shiqi Wang
Renjie Wan
Lap-Pui Chau
City University of Hong Kong
AAML
140
41
0
15 Sep 2020
Backdoor Learning: A Survey
Backdoor Learning: A SurveyIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
607
754
0
17 Jul 2020
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural
  Networks
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural NetworksComputers & security (CS), 2020
Kathrin Grosse
Taesung Lee
Battista Biggio
Youngja Park
Michael Backes
Ian Molloy
AAML
192
13
0
11 Jun 2020
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