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2111.07608
Cited By
Property Inference Attacks Against GANs
Network and Distributed System Security Symposium (NDSS), 2021
15 November 2021
Junhao Zhou
Yufei Chen
Chao Shen
Yang Zhang
AAML
MIACV
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Papers citing
"Property Inference Attacks Against GANs"
30 / 30 papers shown
Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic
Van-Tai Tran
Shinan Liu
Tian Li
Nick Feamster
MIACV
631
1
0
25 Nov 2025
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
Kang Wei
Xin Yuan
Fushuo Huo
Chuan Ma
Long Yuan
S. Li
Ming Ding
Dacheng Tao
DiffM
MedIm
289
2
0
25 Sep 2025
Black-Box Privacy Attacks on Shared Representations in Multitask Learning
John Abascal
Nicolás Berrios
Alina Oprea
Jonathan R. Ullman
Adam D. Smith
Matthew Jagielski
MLAU
290
0
0
19 Jun 2025
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Neural Information Processing Systems (NeurIPS), 2024
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
271
3
0
06 Nov 2024
FRIDA: Free-Rider Detection using Privacy Attacks
Pol G. Recasens
Ádám Horváth
Alberto Gutierrez-Torre
Jordi Torres
Josep Ll.Berral
Balázs Pejó
FedML
604
1
0
07 Oct 2024
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?
J. Hayase
Alisa Liu
Yejin Choi
Sewoong Oh
Noah A. Smith
439
20
0
23 Jul 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
453
3
0
04 Jun 2024
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
Sayedeh Leila Noorbakhsh
Binghui Zhang
Yuan Hong
Binghui Wang
AAML
336
17
0
04 Mar 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective
Xinjian Luo
Yangfan Jiang
Fei Wei
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
DiffM
426
9
0
28 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
410
7
0
22 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Tianyu Cui
Yanling Wang
Chuanpu Fu
Yong Xiao
Sijia Li
...
Junwu Xiong
Xinyu Kong
ZuJie Wen
Ke Xu
Qi Li
404
107
0
11 Jan 2024
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Minxing Zhang
Ning Yu
Rui Wen
Michael Backes
Yang Zhang
DiffM
234
33
0
30 Oct 2023
SoK: Memorization in General-Purpose Large Language Models
Valentin Hartmann
Anshuman Suri
Vincent Bindschaedler
David Evans
Shruti Tople
Robert West
KELM
LLMAG
421
41
0
24 Oct 2023
Quantifying Privacy Risks of Prompts in Visual Prompt Learning
USENIX Security Symposium (USENIX Security), 2023
Yixin Wu
Rui Wen
Michael Backes
Pascal Berrang
Mathias Humbert
Yun Shen
Yang Zhang
AAML
VPVLM
307
11
0
18 Oct 2023
Attesting Distributional Properties of Training Data for Machine Learning
European Symposium on Research in Computer Security (ESORICS), 2023
Vasisht Duddu
Anudeep Das
Nora Khayata
Hossein Yalame
T. Schneider
Nirmal Asokan
388
10
0
18 Aug 2023
PriSampler: Mitigating Property Inference of Diffusion Models
Hailong Hu
Jun Pang
DiffM
392
5
0
08 Jun 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Mathias Lundteigen Mohus
Jinyue Li
AAML
252
4
0
01 Jun 2023
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations
Lukas Struppek
Dominik Hintersdorf
Felix Friedrich
Manuel Brack
P. Schramowski
Kristian Kersting
MIACV
250
3
0
16 Mar 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
A. Salem
Giovanni Cherubin
David Evans
Boris Köpf
Andrew Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
461
63
0
21 Dec 2022
Dissecting Distribution Inference
Anshuman Suri
Yifu Lu
Yanjin Chen
David Evans
297
17
0
15 Dec 2022
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
Raksha Ramakrishna
Gyorgy Dán
199
2
0
08 Nov 2022
Data Poisoning Attacks Against Multimodal Encoders
International Conference on Machine Learning (ICML), 2022
Ziqing Yang
Xinlei He
Zheng Li
Michael Backes
Mathias Humbert
Pascal Berrang
Yang Zhang
AAML
464
74
0
30 Sep 2022
Distribution inference risks: Identifying and mitigating sources of leakage
Valentin Hartmann
Léo Meynent
Maxime Peyrard
Dimitrios Dimitriadis
Shruti Tople
Robert West
MIACV
257
20
0
18 Sep 2022
Group Property Inference Attacks Against Graph Neural Networks
Conference on Computer and Communications Security (CCS), 2022
Xiuling Wang
Wendy Hui Wang
AAML
401
42
0
02 Sep 2022
SNAP: Efficient Extraction of Private Properties with Poisoning
Harsh Chaudhari
John Abascal
Alina Oprea
Matthew Jagielski
Florian Tramèr
Jonathan R. Ullman
MIACV
380
38
0
25 Aug 2022
Auditing Membership Leakages of Multi-Exit Networks
Conference on Computer and Communications Security (CCS), 2022
Zheng Li
Yiyong Liu
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
AAML
223
47
0
23 Aug 2022
Correlation inference attacks against machine learning models
Ana-Maria Creţu
Florent Guépin
Yves-Alexandre de Montjoye
MIACV
AAML
280
7
0
16 Dec 2021
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing
Xiao Han
Yuncong Yang
Junjie Wu
201
4
0
15 Dec 2021
Formalizing and Estimating Distribution Inference Risks
Anshuman Suri
David Evans
MIACV
518
61
0
13 Sep 2021
Dynamic Backdoor Attacks Against Machine Learning Models
European Symposium on Security and Privacy (EuroS&P), 2020
A. Salem
Rui Wen
Michael Backes
Shiqing Ma
Yang Zhang
AAML
396
321
0
07 Mar 2020
1
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