Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

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Title
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage Md. Rafi Ur Rashid Jing Liu T. Koike-Akino Shagufta Mehnaz Ye Wang MU SILM 46 3 0 30 Aug 2024
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack Chayadon Lumbut Donlapark Ponnoprat 30 0 0 30 Aug 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 38 1 0 29 Aug 2024
LLM-PBE: Assessing Data Privacy in Large Language Models Qinbin Li Junyuan Hong Chulin Xie Jeffrey Tan Rachel Xin ... Dan Hendrycks Zhangyang Wang Bo Li Bingsheng He Dawn Song ELM PILM 42 13 0 23 Aug 2024
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders Yuan Xin Zehan Li Ning Yu Dingfan Chen Mario Fritz Michael Backes Yang Zhang PILM MIACV 42 2 0 20 Aug 2024
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory Haoran Li Wei Fan Yulin Chen Jiayang Cheng Tianshu Chu Xuebing Zhou Peizhao Hu Yangqiu Song AILaw 50 2 0 19 Aug 2024
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector Wenjie Fu Huandong Wang Chen Gao Guanghua Liu Yong Li Tao Jiang 34 3 0 16 Aug 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 48 2 0 16 Aug 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Alessio Mora Lorenzo Valerio Paolo Bellavista A. Passarella FedML MU 54 2 0 14 Aug 2024
Membership Inference Attack Against Masked Image Modeling Zehan Li Xinlei He Ning Yu Yang Zhang 42 1 0 13 Aug 2024
Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction Cédric Eichler Nathan Champeil Nicolas Anciaux Alexandra Bensamoun Héber H. Arcolezi José Maria De Fuentes 43 4 0 12 Aug 2024
Deep Learning with Data Privacy via Residual Perturbation Wenqi Tao Huaming Ling Zuoqiang Shi Bao Wang 21 2 0 11 Aug 2024
Range Membership Inference Attacks Jiashu Tao Reza Shokri 45 1 0 09 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 56 16 0 06 Aug 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services Shaopeng Fu Xuexue Sun Ke Qing Tianhang Zheng Di Wang AAML MIACV SILM 59 0 0 05 Aug 2024
Differentially Private Gomory-Hu Trees Anders Aamand Justin Y. Chen M. Dalirrooyfard Slobodan Mitrović Yuriy Nevmyvaka Sandeep Silwal Yinzhan Xu OT 33 0 0 03 Aug 2024
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets Ziyu Wang A. Kanduri Seyed Amir Hossein Aqajari Salar Jafarlou Sanaz R. Mousavi P. Liljeberg Shaista Malik Amir M. Rahmani 27 3 0 02 Aug 2024
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix Yang Jin Sihun Baek Lei Zhang Hyelin Nam Praneeth Vepakomma Ramesh Raskar Mehdi Bennis Seong-Lyun Kim 36 2 0 02 Aug 2024
Detecting, Explaining, and Mitigating Memorization in Diffusion Models Yuxin Wen Yuchen Liu Chen Chen Lingjuan Lyu 29 51 0 31 Jul 2024
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens Anqi Zhang Chaofeng Wu 39 5 0 30 Jul 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 60 1 0 30 Jul 2024
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing Eugenio Lomurno Matteo Matteucci 49 2 0 30 Jul 2024
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs Sara Abdali Jia He C. Barberan Richard Anarfi 38 7 0 30 Jul 2024
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning Sayyed Farid Ahamed Soumya Banerjee Sandip Roy Devin Quinn Marc Vucovich K. Choi Abdul Rahman Alison Hu Edward Bowen Sachin Shetty 27 0 0 26 Jul 2024
Demystifying Verbatim Memorization in Large Language Models Jing Huang Diyi Yang Christopher Potts ELM PILM MU 55 19 0 25 Jul 2024
Revisiting Machine Unlearning with Dimensional Alignment Seonguk Seo Dongwan Kim Bohyung Han MU 37 0 0 25 Jul 2024
SOK: Blockchain for Provenance Asma Jodeiri Akbarfam Hoda Maleki 30 0 0 25 Jul 2024
Synthetic Trajectory Generation Through Convolutional Neural Networks Jesse Merhi Erik Buchholz S. Kanhere 37 0 0 24 Jul 2024
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? J. Hayase Alisa Liu Yejin Choi Sewoong Oh Noah A. Smith 41 10 0 23 Jul 2024
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning Huandong Wang Changzheng Gao Yuchen Wu Depeng Jin Lina Yao Yong Li 25 21 0 23 Jul 2024
Representation Magnitude has a Liability to Privacy Vulnerability Xingli Fang Jung-Eun Kim 27 1 0 23 Jul 2024
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks Eugenio Lomurno Matteo Matteucci MedIm 51 3 0 22 Jul 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack Hao Li Zheng Li Siyuan Wu Chengrui Hu Yutong Ye Min Zhang Dengguo Feng Yang Zhang 40 3 0 21 Jul 2024
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs) Apurv Verma Satyapriya Krishna Sebastian Gehrmann Madhavan Seshadri Anu Pradhan Tom Ault Leslie Barrett David Rabinowitz John Doucette Nhathai Phan 59 10 0 20 Jul 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 44 3 0 20 Jul 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks Yixiang Qiu Hao Fang Hongyao Yu Bin Chen Meikang Qiu Shu-Tao Xia AAML 47 11 0 18 Jul 2024
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation Ilhoon Yoon Hyeongjun Kwon Jin-Hwa Kim Junyoung Park Hyunsung Jang Kwanghoon Sohn 46 4 0 18 Jul 2024
Proof-of-Collaborative-Learning: A Multi-winner Federated Learning Consensus Algorithm Amirreza Sokhankhosh Sara Rouhani FedML 26 1 0 17 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin AAML 62 2 0 17 Jul 2024
Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data Sheng Chai Gus Chadney Charlot Avery Phil Grunewald Pascal Van Hentenryck P. Donti 33 6 0 16 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 46 19 0 16 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 41 8 0 15 Jul 2024
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization Wenrui Yu Qiongxiu Li Milan Lopuhaä-Zwakenberg Mads Græsbøll Christensen Richard Heusdens FedML 38 3 0 12 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 24 0 0 12 Jul 2024
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers Alex Oesterling Usha Bhalla Suresh Venkatasubramanian Himabindu Lakkaraju 46 1 0 11 Jul 2024
Differentially Private Neural Network Training under Hidden State Assumption Ding Chen Chen Liu FedML 32 0 0 11 Jul 2024
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment Yufan Liu Wanqian Zhang Dayan Wu Zheng-Shen Lin Jingzi Gu Weiping Wang 53 1 0 11 Jul 2024
Was it Slander? Towards Exact Inversion of Generative Language Models Adrians Skapars Edoardo Manino Youcheng Sun Lucas C. Cordeiro 33 3 0 10 Jul 2024
Machine Unlearning for Medical Imaging Reza Nasirigerdeh Nader Razmi Julia A. Schnabel Daniel Rueckert Georgios Kaissis OOD MU 25 1 0 10 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 45 2 0 09 Jul 2024