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  4. Cited By
ML-Leaks: Model and Data Independent Membership Inference Attacks and
  Defenses on Machine Learning Models
v1v2 (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
    MIACVMIALM
ArXiv (abs)PDFHTML

Papers citing "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"

50 / 519 papers shown
FiMMIA: scaling semantic perturbation-based membership inference across modalities
FiMMIA: scaling semantic perturbation-based membership inference across modalities
Anton A. Emelyanov
Sergei Kudriashov
Alena Fenogenova
136
0
0
02 Dec 2025
Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation
Timur Sattarov
Marco Schreyer
Damian Borth
52
0
0
29 Nov 2025
Memories Retrieved from Many Paths: A Multi-Prefix Framework for Robust Detection of Training Data Leakage in Large Language Models
Memories Retrieved from Many Paths: A Multi-Prefix Framework for Robust Detection of Training Data Leakage in Large Language Models
Trung Cuong Dang
David A. Mohaisen
AAML
172
0
0
25 Nov 2025
Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic
Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic
Van-Tai Tran
Shinan Liu
Tian Li
Nick Feamster
MIACV
516
0
0
25 Nov 2025
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?
David Amebley
Sayanton Dibbo
AAML
172
0
0
24 Nov 2025
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
Yixin Wu
Rui Wen
Chi Cui
Michael Backes
Yang Zhang
AAML
173
0
0
24 Nov 2025
Membership Inference Attacks Beyond Overfitting
Membership Inference Attacks Beyond Overfitting
Mona Khalil
Alberto Blanco-Justicia
N. Jebreel
Josep Domingo-Ferrer
MIALM
178
0
0
20 Nov 2025
AI Bill of Materials and Beyond: Systematizing Security Assurance through the AI Risk Scanning (AIRS) Framework
AI Bill of Materials and Beyond: Systematizing Security Assurance through the AI Risk Scanning (AIRS) Framework
Samuel Nathanson
Alexander Lee
Catherine Chen Kieffer
Jared Junkin
Jessica Ye
Amir Saeed
Melanie Lockhart
Russ Fink
Elisha Peterson
Lanier Watkins
72
0
0
16 Nov 2025
BudgetLeak: Membership Inference Attacks on RAG Systems via the Generation Budget Side Channel
BudgetLeak: Membership Inference Attacks on RAG Systems via the Generation Budget Side Channel
Hao Li
Jiajun He
Guangshuo Wang
Dengguo Feng
Zheng Li
Min Zhang
AAML
253
0
0
15 Nov 2025
Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models
Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models
Asia Belfiore
Jonathan Passerat-Palmbach
Dmitrii Usynin
105
0
0
10 Nov 2025
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach
Yuanheng Li
Z. Chen
Xiaoyun Liu
Yuhao Wang
Xin Peng
Yang Shi
Kaifeng Huang
Shengjie Zhao
AAML
228
0
0
10 Nov 2025
LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
Fengyuan Yu
Yuyuan Li
Xiaohua Feng
Junjie Fang
Tao Wang
Chaochao Chen
MU
204
2
0
23 Oct 2025
Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
Alexander Nemecek
Zebin Yun
Zahra Rahmani
Yaniv Harel
Vipin Chaudhary
Mahmood Sharif
Erman Ayday
146
0
0
21 Oct 2025
Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models
Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models
Guo Li
Yuyang Yu
Xuemiao Xu
DiffM
128
0
0
18 Oct 2025
The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers
The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers
Owais Makroo
Siva Rajesh Kasa
Sumegh Roychowdhury
Karan Gupta
Nikhil Pattisapu
Santhosh Kumar Kasa
Sumit Negi
SILM
224
0
0
17 Oct 2025
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Li Bai
Qingqing Ye
Xinwei Zhang
Sen Zhang
Zi Liang
Jianliang Xu
Haibo Hu
FedMLMIACVMoE
323
0
0
15 Oct 2025
Quantifying Information Disclosure During Gradient Descent Using Gradient Uniqueness
Quantifying Information Disclosure During Gradient Descent Using Gradient Uniqueness
Mahmoud Abdelghafar
Maryam Aliakbarpour
Chris Jermaine
97
0
0
13 Oct 2025
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack under Realistic Scenarios
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack under Realistic Scenarios
Yuval Golbari
Navve Wasserman
Gal Vardi
Michal Irani
MIACV
357
0
0
12 Oct 2025
High-Power Training Data Identification with Provable Statistical Guarantees
High-Power Training Data Identification with Provable Statistical Guarantees
Zhenlong Liu
Hao Zeng
Weiran Huang
Hongxin Wei
165
0
0
10 Oct 2025
LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
Hacane Hechehouche
Andre Antakli
Matthias Klusch
LLMAG3DV
220
0
0
08 Oct 2025
Membership Inference Attacks on Tokenizers of Large Language Models
Membership Inference Attacks on Tokenizers of Large Language Models
Meng Tong
Yuntao Du
Kejiang Chen
Weiming Zhang
MIALM
383
0
0
07 Oct 2025
Causal Fuzzing for Verifying Machine Unlearning
Causal Fuzzing for Verifying Machine Unlearning
Anna Mazhar
Sainyam Galhotra
MUCML
76
0
0
20 Sep 2025
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning
Daniel DeAlcala
Aythami Morales
Julian Fierrez
Gonzalo Mancera
Ruben Tolosana
Javier-Ortega Garcia
MLAU
205
1
0
09 Sep 2025
Imitative Membership Inference Attack
Imitative Membership Inference Attack
Yuntao Du
Yuetian Chen
Hanshen Xiao
Bruno Ribeiro
Ninghui Li
156
0
0
08 Sep 2025
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
Yi Yin
G. Zhang
Hua Zuo
Jie Lu
166
0
0
02 Sep 2025
RepoMark: A Data-Usage Auditing Framework for Code Large Language Models
RepoMark: A Data-Usage Auditing Framework for Code Large Language Models
Wenjie Qu
Yuguang Zhou
Bo Wang
Wengrui Zheng
Yuexin Li
Jinyuan Jia
Jiaheng Zhang
OffRL
182
0
0
29 Aug 2025
Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks
Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks
Aristeidis Sidiropoulos
Christos Chrysanthos Nikolaidis
Theodoros Tsiolakis
Nikolaos Pavlidis
V. Perifanis
P. Efraimidis
180
0
0
22 Aug 2025
Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods
Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods
J. Lee
Suhyeon Yu
Yurim Jang
Simon S. Woo
Jaemin Jo
MU
268
1
0
18 Aug 2025
Assessing User Privacy Leakage in Synthetic Packet Traces: An Attack-Grounded Approach
Assessing User Privacy Leakage in Synthetic Packet Traces: An Attack-Grounded Approach
Minhao Jin
Hongyu He
Maria Apostolaki
108
1
0
15 Aug 2025
SMA: Who Said That? Auditing Membership Leakage in Semi-Black-box RAG Controlling
SMA: Who Said That? Auditing Membership Leakage in Semi-Black-box RAG Controlling
Shixuan Sun
Yaning Tan
Ruoyu Chen
Jianjie Huang
Jingzhi Li
Xiaochun Cao
256
0
0
12 Aug 2025
Membership Inference Attacks with False Discovery Rate Control
Membership Inference Attacks with False Discovery Rate Control
Chenxu Zhao
Wei Qian
Aobo Chen
Mengdi Huai
132
1
0
09 Aug 2025
Evaluating the Dynamics of Membership Privacy in Deep Learning
Evaluating the Dynamics of Membership Privacy in Deep Learning
Yuetian Chen
Zhiqi Wang
Nathalie Baracaldo
S. Kadhe
Lei Yu
MIACV
353
1
0
31 Jul 2025
Cascading and Proxy Membership Inference Attacks
Cascading and Proxy Membership Inference Attacks
Yuntao Du
Jiacheng Li
Yuetian Chen
Kaiyuan Zhang
Zhizhen Yuan
Hanshen Xiao
Bruno Ribeiro
Ninghui Li
270
3
0
29 Jul 2025
Memorization in Fine-Tuned Large Language Models
Memorization in Fine-Tuned Large Language Models
Danil Savine
149
0
0
28 Jul 2025
GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI
GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI
Joshua Kalyanapu
Farshad Dizani
Darsh Asher
Azam Ghanbari
Rosario Cammarota
Aydin Aysu
Samira Mirbagher Ajorpaz
272
0
0
22 Jul 2025
CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage
CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage
Na Li
Yansong Gao
Hongsheng Hu
Boyu Kuang
Anmin Fu
216
0
0
22 Jul 2025
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Zongyu Wu
Minhua Lin
Zhiwei Zhang
Fali Wang
Xianren Zhang
Xiang Zhang
Suhang Wang
331
1
0
14 Jun 2025
Auditing Data Provenance in Real-world Text-to-Image Diffusion Models for Privacy and Copyright Protection
Auditing Data Provenance in Real-world Text-to-Image Diffusion Models for Privacy and Copyright Protection
Jie Zhu
Leye Wang
194
0
0
13 Jun 2025
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
Rui Wen
Yiyong Liu
Michael Backes
Yang Zhang
AAML
228
2
0
09 Jun 2025
Hey, That's My Data! Label-Only Dataset Inference in Large Language Models
Hey, That's My Data! Label-Only Dataset Inference in Large Language Models
Chen Xiong
Zihao Wang
Rui Zhu
Tsung-Yi Ho
Pin-Yu Chen
Jingwei Xiong
Haixu Tang
Lucila Ohno-Machado
207
1
0
06 Jun 2025
When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive LearningACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025
Ruining Sun
Hongsheng Hu
Wei Luo
Zhaoxi Zhang
Yanjun Zhang
Haizhuan Yuan
Leo Yu Zhang
MIACVAAML
331
1
0
06 Jun 2025
Multidimensional Analysis of Specific Language Impairment Using Unsupervised Learning Through PCA and Clustering
Multidimensional Analysis of Specific Language Impairment Using Unsupervised Learning Through PCA and ClusteringIEEE International Conference on Healthcare Informatics (ICHI), 2025
Niruthiha Selvanayagam
212
0
0
05 Jun 2025
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Jing Xue
Zhishen Sun
Haishan Ye
Luo Luo
Xiangyu Chang
Ivor Tsang
Guang Dai
MIACVMIALM
313
0
0
03 Jun 2025
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data
Yan Zhou
Sricharan Kumar
Murat Kantarcioglu
196
1
0
02 Jun 2025
Vid-SME: Membership Inference Attacks against Large Video Understanding Models
Vid-SME: Membership Inference Attacks against Large Video Understanding Models
Qi Li
Runpeng Yu
Xinchao Wang
291
5
0
29 May 2025
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
Tong Sun
Bowen Jiang
Hailong Lin
Borui Li
Yixiao Teng
Yi Gao
Wei Dong
FedML
157
1
0
28 May 2025
Unveiling Impact of Frequency Components on Membership Inference Attacks for Diffusion Models
Unveiling Impact of Frequency Components on Membership Inference Attacks for Diffusion Models
Puwei Lian
Yujun Cai
Songze Li
Bingkun Bao
348
2
0
27 May 2025
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
Pengcheng Sun
Erwu Liu
Wei Ni
Rui Wang
Yuanzhe Geng
Lijuan Lai
Abbas Jamalipour
256
0
0
26 May 2025
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph AttacksInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Jinyan Wang
Liu Yang
Yuecen Wei
Jiaxuan Si
Chenhao Guo
Qingyun Sun
Xianxian Li
Xingcheng Fu
OODAAML
166
3
0
26 May 2025
DynaNoise: Dynamic Probabilistic Noise Injection for Defending Against Membership Inference Attacks
DynaNoise: Dynamic Probabilistic Noise Injection for Defending Against Membership Inference Attacks
Javad Forough
Hamed Haddadi
AAML
326
0
0
19 May 2025
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