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SoK: Dataset Copyright Auditing in Machine Learning Systems
v1v2 (latest)

SoK: Dataset Copyright Auditing in Machine Learning Systems

22 October 2024
L. Du
Xuanru Zhou
M. Chen
Chusong Zhang
Zhou Su
Peng Cheng
Jiming Chen
Zhikun Zhang
    MLAU
ArXiv (abs)PDFHTML

Papers citing "SoK: Dataset Copyright Auditing in Machine Learning Systems"

50 / 63 papers shown
Title
CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction
CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction
Ting Qiao
Yiming Li
Jianbin Li
Yingjia Wang
Leyi Qi
Junfeng Guo
Ruili Feng
Dacheng Tao
AAML
26
0
0
16 Jun 2025
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models
Linkang Du
Zheng Zhu
M. Chen
Zhou Su
S. Ji
Peng Cheng
Jiming Chen
Zhikun Zhang
DiffMWIGMMLAU
151
0
0
17 Apr 2025
Instance-Level Data-Use Auditing of Visual ML Models
Instance-Level Data-Use Auditing of Visual ML Models
Zonghao Huang
Neil Zhenqiang Gong
Michael K. Reiter
MLAU
99
0
0
28 Mar 2025
Autonomous Prompt Engineering in Large Language Models
Autonomous Prompt Engineering in Large Language Models
Daan Kepel
Konstantina Valogianni
LLMAG
91
8
0
25 Jun 2024
DPAdapter: Improving Differentially Private Deep Learning through Noise
  Tolerance Pre-training
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training
Zihao Wang
Rui Zhu
Dongruo Zhou
Zhikun Zhang
John C. Mitchell
Haixu Tang
Xiaofeng Wang
AAML
80
6
0
05 Mar 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
145
94
0
25 Jan 2024
Digger: Detecting Copyright Content Mis-usage in Large Language Model
  Training
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
Haodong Li
Gelei Deng
Yi Liu
Kailong Wang
Yuekang Li
Tianwei Zhang
Yang Liu
Guoai Xu
Guosheng Xu
Haoyu Wang
89
26
0
01 Jan 2024
Copyright Violations and Large Language Models
Copyright Violations and Large Language Models
Antonia Karamolegkou
Jiaang Li
Li Zhou
Anders Sogaard
76
67
0
20 Oct 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is
  Closed at Hand
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
Junfeng Guo
Yiming Li
Lixu Wang
Shu-Tao Xia
Heng-Chiao Huang
Cong Liu
Boheng Li
91
62
0
09 Oct 2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
L. Du
Min Chen
Mingyang Sun
Shouling Ji
Peng Cheng
Jiming Chen
Zhikun Zhang
OffRL
99
9
0
06 Sep 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart
  Grid: A Review
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review
Zhenyong Zhang
Mengxiang Liu
Mingyang Sun
Ruilong Deng
Peng Cheng
Dusit Niyato
Mo-Yuen Chow
Jiming Chen
113
47
0
30 Aug 2023
WavMark: Watermarking for Audio Generation
WavMark: Watermarking for Audio Generation
Guang Chen
Yu-Huan Wu
Shujie Liu
Tao Liu
Xiaoyong Du
Furu Wei
90
42
0
24 Aug 2023
How to Protect Copyright Data in Optimization of Large Language Models?
How to Protect Copyright Data in Optimization of Large Language Models?
T. Chu
Zhao Song
Chiwun Yang
85
31
0
23 Aug 2023
PromptCARE: Prompt Copyright Protection by Watermark Injection and
  Verification
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification
Hongwei Yao
Jian Lou
Kui Ren
Zhan Qin
AAMLVLM
103
31
0
05 Aug 2023
Are You Copying My Model? Protecting the Copyright of Large Language
  Models for EaaS via Backdoor Watermark
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Wenjun Peng
Jingwei Yi
Fangzhao Wu
Shangxi Wu
Bin Zhu
Lingjuan Lyu
Binxing Jiao
Tongye Xu
Guangzhong Sun
Xing Xie
WaLM
75
66
0
17 May 2023
DPMLBench: Holistic Evaluation of Differentially Private Machine
  Learning
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
Chengkun Wei
Ming-Hui Zhao
Zhikun Zhang
Min Chen
Wenlong Meng
Bodong Liu
Yuan-shuo Fan
Wenzhi Chen
96
11
0
10 May 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems
FACE-AUDITOR: Data Auditing in Facial Recognition Systems
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Yang Zhang
CVBM
90
17
0
05 Apr 2023
PrivGraph: Differentially Private Graph Data Publication by Exploiting
  Community Information
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information
Quan Yuan
Zhikun Zhang
L. Du
Min Chen
Peng Cheng
Mingyang Sun
82
19
0
05 Apr 2023
Did You Train on My Dataset? Towards Public Dataset Protection with
  Clean-Label Backdoor Watermarking
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking
Ruixiang Tang
Qizhang Feng
Ninghao Liu
Fan Yang
Helen Zhou
88
42
0
20 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.6K
14,832
0
15 Mar 2023
Data Origin Inference in Machine Learning
Data Origin Inference in Machine Learning
Mingxue Xu
Xiang-Yang Li
59
3
0
24 Nov 2022
On the Robustness of Dataset Inference
On the Robustness of Dataset Inference
S. Szyller
Rui Zhang
Enchao Gong
Nadarajah Asokan
AAML
62
6
0
24 Oct 2022
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive
  Markov Model
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model
Haiming Wang
Zhikun Zhang
Tianhao Wang
Shibo He
Michael Backes
Jiming Chen
Yang Zhang
132
40
0
02 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li
Yang Bai
Yong Jiang
Yong-Liang Yang
Shutao Xia
Bo Li
AAML
140
108
0
27 Sep 2022
Dataset Inference for Self-Supervised Models
Dataset Inference for Self-Supervised Models
Adam Dziedzic
Haonan Duan
Muhammad Ahmad Kaleem
Nikita Dhawan
Jonas Guan
Yannis Cattan
Franziska Boenisch
Nicolas Papernot
114
28
0
16 Sep 2022
Data Isotopes for Data Provenance in DNNs
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
64
12
0
29 Aug 2022
Black-box Dataset Ownership Verification via Backdoor Watermarking
Black-box Dataset Ownership Verification via Backdoor Watermarking
Yiming Li
Mingyan Zhu
Xue Yang
Yong Jiang
Tao Wei
Shutao Xia
AAML
90
81
0
04 Aug 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yang Bai
Yong Jiang
Shutao Xia
Xiaochun Cao
Kui Ren
AAML
97
14
0
04 Aug 2022
Membership Inference via Backdooring
Membership Inference via Backdooring
Hongsheng Hu
Z. Salcic
Gillian Dobbie
Jinjun Chen
Lichao Sun
Xuyun Zhang
MIACV
72
31
0
10 Jun 2022
User-Level Membership Inference Attack against Metric Embedding Learning
User-Level Membership Inference Attack against Metric Embedding Learning
Guoyao Li
Shahbaz Rezaei
Xin Liu
117
24
0
04 Mar 2022
Copy, Right? A Testing Framework for Copyright Protection of Deep
  Learning Models
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models
Jialuo Chen
Jingyi Wang
Tinglan Peng
Youcheng Sun
Peng Cheng
S. Ji
Xingjun Ma
Yue Liu
Basel Alomair
AAML
92
64
0
10 Dec 2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local
  Differential Privacy
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
L. Du
Zhikun Zhang
Shaojie Bai
Changchang Liu
S. Ji
Peng Cheng
Jiming Chen
142
38
0
14 Oct 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
137
16
0
20 Sep 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
Zehao Wang
62
45
0
07 Jun 2021
Dataset Inference: Ownership Resolution in Machine Learning
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini
Mohammad Yaghini
Nicolas Papernot
FedML
148
110
0
21 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.1K
30,032
0
26 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine
  Learning Models
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Yugeng Liu
Rui Wen
Xinlei He
A. Salem
Zhikun Zhang
Michael Backes
Emiliano De Cristofaro
Mario Fritz
Yang Zhang
AAML
100
133
0
04 Feb 2021
Open-sourced Dataset Protection via Backdoor Watermarking
Open-sourced Dataset Protection via Backdoor Watermarking
Yiming Li
Zi-Mou Zhang
Jiawang Bai
Baoyuan Wu
Yong Jiang
Shutao Xia
67
41
0
12 Oct 2020
Membership Leakage in Label-Only Exposures
Membership Leakage in Label-Only Exposures
Zheng Li
Yang Zhang
104
247
0
30 Jul 2020
Label-Only Membership Inference Attacks
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo
Florian Tramèr
Nicholas Carlini
Nicolas Papernot
MIACVMIALM
113
519
0
28 Jul 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
370
378
0
24 Mar 2020
Towards Probabilistic Verification of Machine Unlearning
Towards Probabilistic Verification of Machine Unlearning
David M. Sommer
Liwei Song
Sameer Wagh
Prateek Mittal
AAML
119
73
0
09 Mar 2020
Radioactive data: tracing through training
Radioactive data: tracing through training
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
102
76
0
03 Feb 2020
Characterizing the Decision Boundary of Deep Neural Networks
Characterizing the Decision Boundary of Deep Neural Networks
Hamid Karimi
Hanyu Wang
Jiliang Tang
91
67
0
24 Dec 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via
  Fingerprinting the Classification Boundary
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
96
106
0
28 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
623
20,418
0
23 Oct 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership
  Inference
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Alexandre Sablayrolles
Matthijs Douze
Yann Ollivier
Cordelia Schmid
Hervé Jégou
MIACV
91
369
0
29 Aug 2019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box
  Membership Inference
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Klas Leino
Matt Fredrikson
MIACV
105
275
0
27 Jun 2019
ML-Leaks: Model and Data Independent Membership Inference Attacks and
  Defenses on Machine Learning Models
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACVMIALM
165
955
0
04 Jun 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
408
11,979
0
11 Jan 2018
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