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1806.01246
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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
4 June 2018
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACV
MIALM
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Papers citing
"ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
50 / 519 papers shown
Membership Inference of Diffusion Models
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A Comprehensive Survey of Dataset Distillation
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Shiye Lei
Dacheng Tao
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480
137
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13 Jan 2023
Backdoor Attacks Against Dataset Distillation
Network and Distributed System Security Symposium (NDSS), 2023
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Zheng Li
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Yun Shen
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DD
240
33
0
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"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
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Hyrum S. Anderson
Savino Dambra
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Fabio Pierazzi
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296
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0
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GAN-based Domain Inference Attack
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yuechun Gu
Keke Chen
118
12
0
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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
389
55
0
21 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Zeyang Sha
Xinlei He
Pascal Berrang
Mathias Humbert
Yang Zhang
AAML
261
49
0
18 Dec 2022
Membership Inference Attacks Against Latent Factor Model
Dazhi Hu
AAML
163
1
0
15 Dec 2022
Holistic risk assessment of inference attacks in machine learning
Yang Yang
SILM
AAML
MIACV
111
2
0
15 Dec 2022
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Mohammad Malekzadeh
Deniz Gunduz
AAML
MIACV
145
1
0
08 Dec 2022
On the Discredibility of Membership Inference Attacks
Shahbaz Rezaei
Xin Liu
215
4
0
06 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models
Tomás Chobola
Dmitrii Usynin
Georgios Kaissis
MIACV
181
11
0
02 Dec 2022
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
AAAI Conference on Artificial Intelligence (AAAI), 2022
Ziqi Yang
Li-Juan Wang
D. Yang
Jie Wan
Ziming Zhao
E. Chang
Fan Zhang
Kui Ren
AAML
143
17
0
01 Dec 2022
Similarity Distribution based Membership Inference Attack on Person Re-identification
AAAI Conference on Artificial Intelligence (AAAI), 2022
Junyao Gao
Xinyang Jiang
Huishuai Zhang
Yifan Yang
Shuguang Dou
Dongsheng Li
Duoqian Miao
Cheng Deng
Cairong Zhao
181
10
0
29 Nov 2022
Neural Architecture for Online Ensemble Continual Learning
Mateusz Wójcik
Witold Ko'sciukiewicz
Tomasz Kajdanowicz
Adam Gonczarek
CLL
254
1
0
27 Nov 2022
Data Origin Inference in Machine Learning
Mingxue Xu
Xiang-Yang Li
158
3
0
24 Nov 2022
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)
International Conference on Security and Cryptography (SECRYPT), 2022
Lucas Lange
Maja Schneider
Peter Christen
Erhard Rahm
240
9
0
21 Nov 2022
Directional Privacy for Deep Learning
Pedro Faustini
Natasha Fernandes
Shakila Mahjabin Tonni
Annabelle McIver
Mark Dras
252
3
0
09 Nov 2022
Unintended Memorization and Timing Attacks in Named Entity Recognition Models
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Rana Salal Ali
Benjamin Zi Hao Zhao
Hassan Jameel Asghar
Tham Nguyen
Ian D. Wood
Dali Kaafar
AAML
120
3
0
04 Nov 2022
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
E. Jefferson
J. Liley
Maeve Malone
S. Reel
Alba Crespi-Boixader
...
Christian Cole
F. Ritchie
A. Daly
Simon Rogers
Jim Q. Smith
142
9
0
03 Nov 2022
User-Entity Differential Privacy in Learning Natural Language Models
Phung Lai
Nhathai Phan
Tong Sun
R. Jain
Franck Dernoncourt
Jiuxiang Gu
Nikolaos Barmpalios
FedML
189
0
0
01 Nov 2022
Amplifying Membership Exposure via Data Poisoning
Neural Information Processing Systems (NeurIPS), 2022
Yufei Chen
Chao Shen
Yun Shen
Cong Wang
Yang Zhang
AAML
288
42
0
01 Nov 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Mauro Conti
Jiaxin Li
S. Picek
MIALM
263
3
0
28 Oct 2022
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
International Conference on Machine Learning (ICML), 2022
Chuan Guo
Alexandre Sablayrolles
Maziar Sanjabi
FedML
136
20
0
24 Oct 2022
New data poison attacks on machine learning classifiers for mobile exfiltration
M. A. Ramírez
Sangyoung Yoon
Ernesto Damiani
H. A. Hamadi
C. Ardagna
Nicola Bena
Young-Ji Byon
Tae-Yeon Kim
C. Cho
C. Yeun
AAML
240
4
0
20 Oct 2022
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers
USENIX Security Symposium (USENIX Security), 2022
Guangsheng Zhang
B. Liu
Huan Tian
Tianqing Zhu
Ming Ding
Wanlei Zhou
PILM
MIACV
287
9
0
20 Oct 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
Yuxin Wen
Arpit Bansal
Hamid Kazemi
Eitan Borgnia
Micah Goldblum
Jonas Geiping
Tom Goldstein
MIACV
276
40
0
19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
243
6
0
19 Oct 2022
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information
Pan Li
Peizhuo Lv
Shenchen Zhu
Ruigang Liang
Kai Chen
AAML
MU
136
0
0
17 Oct 2022
Membership Inference Attacks Against Text-to-image Generation Models
Yixin Wu
Ning Yu
Zheng Li
Michael Backes
Yang Zhang
DiffM
197
78
0
03 Oct 2022
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"
Nicholas Carlini
Vitaly Feldman
Milad Nasr
DD
203
21
0
29 Sep 2022
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Sohaib Ahmad
Benjamin Fuller
Kaleel Mahmood
AAML
188
0
0
22 Sep 2022
Membership Inference Attacks and Generalization: A Causal Perspective
Conference on Computer and Communications Security (CCS), 2022
Teodora Baluta
Shiqi Shen
S. Hitarth
Shruti Tople
Prateek Saxena
OOD
MIACV
249
28
0
18 Sep 2022
Distribution inference risks: Identifying and mitigating sources of leakage
Valentin Hartmann
Léo Meynent
Maxime Peyrard
Dimitrios Dimitriadis
Shruti Tople
Robert West
MIACV
182
20
0
18 Sep 2022
Does CLIP Know My Face?
Journal of Artificial Intelligence Research (JAIR), 2022
Dominik Hintersdorf
Lukas Struppek
Manuel Brack
Felix Friedrich
P. Schramowski
Kristian Kersting
VLM
254
17
0
15 Sep 2022
M^4I: Multi-modal Models Membership Inference
Neural Information Processing Systems (NeurIPS), 2022
Pingyi Hu
Zihan Wang
Ruoxi Sun
Hu Wang
Minhui Xue
209
36
0
15 Sep 2022
On the utility and protection of optimization with differential privacy and classic regularization techniques
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2022
Eugenio Lomurno
Matteo matteucci
152
10
0
07 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures
Conference on Computer and Communications Security (CCS), 2022
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
198
8
0
04 Sep 2022
Data Provenance via Differential Auditing
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Xin Mu
Ming Pang
Feida Zhu
202
4
0
04 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory
Conference on Computer and Communications Security (CCS), 2022
Yiyong Liu
Subrat Kishore Dutta
Michael Backes
Yang Zhang
251
147
0
31 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
187
46
0
23 Aug 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Xinlei He
Zheng Li
Weilin Xu
Cory Cornelius
Yang Zhang
MIACV
211
27
0
22 Aug 2022
On the Privacy Effect of Data Enhancement via the Lens of Memorization
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Xiao-Li Li
Qiongxiu Li
Zhan Hu
Xiaolin Hu
282
19
0
17 Aug 2022
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
Mauro Conti
Jiaxin Li
S. Picek
Jing Xu
AAML
204
32
0
27 Jul 2022
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning
European Conference on Computer Vision (ECCV), 2022
Xinlei He
Hongbin Liu
Neil Zhenqiang Gong
Yang Zhang
AAML
MIACV
178
17
0
25 Jul 2022
Combing for Credentials: Active Pattern Extraction from Smart Reply
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Bargav Jayaraman
Esha Ghosh
Melissa Chase
Sambuddha Roy
Wei Dai
David Evans
SILM
330
10
0
14 Jul 2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
International Conference on Learning Representations (ICLR), 2022
Dingfan Chen
Ning Yu
Mario Fritz
177
55
0
12 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Ehsan Hallaji
R. Razavi-Far
R. Razavi-Far
AAML
FedML
161
16
0
05 Jul 2022
Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model
Xudong Pan
Yifan Yan
Sheng Zhang
Mi Zhang
Min Yang
219
1
0
29 Jun 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Knowledge Discovery and Data Mining (KDD), 2022
Zihan Wang
Na Huang
Fei Sun
Sudipta Singha Roy
Zhumin Chen
Hengliang Luo
Maarten de Rijke
Zhaochun Ren
AAML
241
29
0
24 Jun 2022
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