Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1806.01246
Cited By
v1
v2 (latest)
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
50 / 519 papers shown
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
434
1
0
15 May 2025
On the Account Security Risks Posed by Password Strength Meters
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025
Ming Xu
Weili Han
Jitao Yu
Jing Liu
Xinsong Zhang
Yun Lin
Jin Song Dong
355
1
0
13 May 2025
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Chetan Pathade
Shubham Patil
236
2
0
12 May 2025
Efficient Machine Unlearning by Model Splitting and Core Sample Selection
Maximilian Egger
Rawad Bitar
Rüdiger Urbanke
MU
115
0
0
11 May 2025
Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks
Ayana Moshruba
Hamed Poursiami
Maryam Parsa
214
2
0
07 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Annual International Computer Software and Applications Conference (COMPSAC), 2025
Shashank Kapoor
Sanjay Surendranath Girija
Lakshit Arora
Dipen Pradhan
Ankit Shetgaonkar
Aman Raj
AAML
512
2
0
06 May 2025
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift
Jiamin Chang
Haoyang Li
Hammond Pearce
Ruoxi Sun
Yue Liu
Minhui Xue
319
0
0
28 Apr 2025
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
Yifeng Mao
Bozhidar Stevanoski
Yves-Alexandre de Montjoye
254
0
0
25 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning
Saber Malekmohammadi
Hong kyu Lee
Li Xiong
MU
1.0K
0
0
08 Apr 2025
A Survey on Unlearnable Data
Jiahao Li
Yiqiang Chen
Yunbing Xing
Yang Gu
Xiangyuan Lan
AAML
366
1
0
30 Mar 2025
Instance-Level Data-Use Auditing of Visual ML Models
Zonghao Huang
Neil Zhenqiang Gong
Michael K. Reiter
MLAU
415
1
0
28 Mar 2025
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks
Applied Sciences (AS), 2025
Jiazhu Dai
Yubing Lu
261
1
0
24 Mar 2025
Language Models May Verbatim Complete Text They Were Not Explicitly Trained On
Katja Filippova
Christopher A. Choquette-Choo
Matthew Jagielski
Peter Kairouz
Sanmi Koyejo
Abigail Z. Jacobs
Nicolas Papernot
472
12
0
21 Mar 2025
All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs
Zhaohan Xi
240
0
0
12 Mar 2025
Efficient Membership Inference Attacks by Bayesian Neural Network
Zhenlong Liu
Wenyu Jiang
Feng Zhou
Jianguo Huang
MIALM
401
3
0
10 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
Qiongxiu Li
Wenrui Yu
Yufei Xia
Jun Pang
FedML
234
6
0
10 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
545
5
0
10 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
424
1
0
08 Mar 2025
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
Mingcong Xu
Xiaojin Zhang
Wei Chen
Hai Jin
FedML
209
0
0
08 Mar 2025
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
Yu He
Boheng Li
Lu Liu
Zhongjie Ba
Wei Dong
Yiming Li
Zhan Qin
Kui Ren
Chong Chen
MIALM
466
15
0
26 Feb 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
Ayana Moshruba
Shay Snyder
Hamed Poursiami
Maryam Parsa
AAML
263
5
0
25 Feb 2025
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
Proceedings on Privacy Enhancing Technologies (PoPETs), 2024
Ayana Moshruba
Ihsen Alouani
Maryam Parsa
AAML
296
5
0
24 Feb 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Jaydeep Borkar
Matthew Jagielski
Katherine Lee
Niloofar Mireshghallah
David A. Smith
Christopher A. Choquette-Choo
PILM
689
6
0
21 Feb 2025
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
M. Russinovich
Ahmed Salem
CLL
MU
375
4
0
20 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Junyi Guan
Abhijith Sharma
Chong Tian
Salem Lahlou
AAML
427
2
0
18 Feb 2025
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
Roman Levin
Valeriia Cherepanova
Abhimanyu Hans
Avi Schwarzschild
Tom Goldstein
910
2
0
14 Feb 2025
Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
Yixin Wu
Ziqing Yang
Yun Shen
Michael Backes
Yang Zhang
404
1
0
02 Feb 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
Network and Distributed System Security Symposium (NDSS), 2025
Kaiyuan Zhang
Siyuan Cheng
Guangyu Shen
Bruno Ribeiro
Shengwei An
Pin-Yu Chen
Xinming Zhang
Ninghui Li
736
6
0
28 Jan 2025
Rethinking Membership Inference Attacks Against Transfer Learning
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Yanwei Yue
Jing Chen
Qianru Fang
Kun He
Ziming Zhao
Hao Ren
Guowen Xu
Yang Liu
Yang Xiang
367
60
0
20 Jan 2025
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
IEEE Symposium on Security and Privacy (S&P), 2025
Jiadong Lou
Xu Yuan
Rui Zhang
Xingliang Yuan
Neil Gong
N. Tzeng
AAML
326
4
0
19 Jan 2025
Synthetic Data Privacy Metrics
Amy Steier
Lipika Ramaswamy
Andre Manoel
Alexa Haushalter
291
4
0
08 Jan 2025
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation
Ying Chen
Jiajing Chen
Yijie Weng
ChiaHua Chang
Dezhi Yu
Guanbiao Lin
MIACV
AAML
343
3
0
04 Jan 2025
Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates
Yuhan Liu
Florent Guépin
Igor Shilov
Yves-Alexandre de Montjoye
204
1
0
31 Dec 2024
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification
Ahmad Hassanpour
Amir Zarei
Khawla Mallat
Anderson Santana de Oliveira
Bian Yang
292
0
0
16 Dec 2024
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
Depeng Chen
Hao Chen
Hulin Jin
Jie Cui
Hong Zhong
259
1
0
24 Nov 2024
CDI: Copyrighted Data Identification in Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Jan Dubiñski
Antoni Kowalczuk
Franziska Boenisch
Adam Dziedzic
434
6
0
19 Nov 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models
ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Ding Li
Ziqi Zhang
Mengyu Yao
Y. Cai
Yao Guo
Xiangqun Chen
FedML
249
9
0
15 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
Qian Sun
Hanpeng Wu
Xi Sheryl Zhang
268
1
0
11 Nov 2024
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method
Teodora Baluta
Pascal Lamblin
Daniel Tarlow
Fabian Pedregosa
Gintare Karolina Dziugaite
MU
240
4
0
07 Nov 2024
Membership Inference Attacks against Large Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2024
Zhan Li
Yongtao Wu
Yihang Chen
F. Tonin
Elias Abad Rocamora
Volkan Cevher
205
21
0
05 Nov 2024
TDDBench: A Benchmark for Training data detection
International Conference on Learning Representations (ICLR), 2024
Zhihao Zhu
Yi Yang
Defu Lian
300
1
0
05 Nov 2024
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
Bao Q. Tran
Viet Anh Nguyen
Anh Tran
Toan M. Tran
408
2
0
22 Oct 2024
SoK: Dataset Copyright Auditing in Machine Learning Systems
IEEE Symposium on Security and Privacy (S&P), 2024
L. Du
Xuanru Zhou
M. Chen
Chusong Zhang
Zhou Su
Peng Cheng
Jiming Chen
Zhikun Zhang
MLAU
406
15
0
22 Oct 2024
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
The Web Conference (WWW), 2024
J. Ren
Kangrui Chen
Chen Chen
Vikash Sehwag
Yue Xing
Shucheng Zhou
Lingjuan Lyu
231
5
0
16 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
International Conference on Learning Representations (ICLR), 2024
Jiahao Lu
Yifan Zhang
Qiuhong Shen
Xinchao Wang
Shuicheng Yan
3DGS
536
7
0
10 Oct 2024
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning
Qiang Hu
Hengxiang Zhang
Jianguo Huang
321
2
0
09 Oct 2024
Fine-tuning can Help Detect Pretraining Data from Large Language Models
International Conference on Learning Representations (ICLR), 2024
Han Zhang
Songxin Zhang
Bingyi Jing
Jianguo Huang
445
4
0
09 Oct 2024
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation
Daniela Gallo
Angelica Liguori
Ettore Ritacco
Luca Caviglione
Fabrizio Durante
Giuseppe Manco
213
1
0
08 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Haokun Chen
Hang Li
Yao Zhang
Gengyuan Zhang
Jinhe Bi
Juil Sock
Philip Torr
Denis Krompass
Denis Krompass
Volker Tresp
378
13
0
07 Oct 2024
Membership Privacy Evaluation in Deep Spiking Neural Networks
Jiaxin Li
Gorka Abad
S. Picek
Mauro Conti
AAML
311
3
0
28 Sep 2024
Previous
1
2
3
4
5
...
9
10
11
Next
