Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,059 papers shown

Title
Privacy Enhancement for Cloud-Based Few-Shot Learning Archit Parnami Muhammad Usama Liyue Fan Minwoo Lee 27 1 0 10 May 2022
Protecting Data from all Parties: Combining FHE and DP in Federated Learning Arnaud Grivet Sébert Renaud Sirdey Oana Stan Cédric Gouy-Pailler FedML 21 0 0 09 May 2022
Evaluating the Fairness Impact of Differentially Private Synthetic Data Blake Bullwinkel Kristen Grabarz Lily Ke Scarlett Gong Christy Tanner Joshua Allen SyDa 23 8 0 09 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 51 109 0 06 May 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data Joceline Ziegler Bjarne Pfitzner H. Schulz A. Saalbach B. Arnrich FedML 33 14 0 06 May 2022
Large Scale Transfer Learning for Differentially Private Image Classification Harsh Mehta Abhradeep Thakurta Alexey Kurakin Ashok Cutkosky 17 39 0 06 May 2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation M. Eren Luke E. Richards Manish Bhattarai Roberto Yus Charles K. Nicholas Boian S. Alexandrov FedML 20 9 0 04 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 45 26 0 03 May 2022
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? Héber H. Arcolezi Jean-François Couchot Denis Renaud Bechara al Bouna X. Xiao AI4TS 36 5 0 01 May 2022
Cracking White-box DNN Watermarks via Invariant Neuron Transforms Yifan Yan Xudong Pan Yining Wang Mi Zhang Min Yang AAML 29 14 0 30 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 33 15 0 26 Apr 2022
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies Shaltiel Eloul Fran Silavong Sanket Kamthe Antonios Georgiadis Sean J. Moran FedML 23 5 0 26 Apr 2022
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings M. Alzantot L. Garcia Mani B. Srivastava 27 1 0 25 Apr 2022
Towards Data-Free Model Stealing in a Hard Label Setting Sunandini Sanyal Sravanti Addepalli R. Venkatesh Babu AAML 48 85 0 23 Apr 2022
Sharper Utility Bounds for Differentially Private Models Yilin Kang Yong Liu Jian Li Weiping Wang FedML 37 3 0 22 Apr 2022
The Risks of Machine Learning Systems Samson Tan Araz Taeihagh K. Baxter 17 5 0 21 Apr 2022
Detecting Unintended Memorization in Language-Model-Fused ASR Wenjie Huang Steve Chien Om Thakkar Rajiv Mathews 41 11 0 20 Apr 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 43 19 0 20 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 42 133 0 18 Apr 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Mohamed Bennai 39 13 0 18 Apr 2022
Assessing Differentially Private Variational Autoencoders under Membership Inference Daniel Bernau J. Robl Florian Kerschbaum 9 5 0 16 Apr 2022
Finding MNEMON: Reviving Memories of Node Embeddings Yun Shen Yufei Han Zhikun Zhang Min Chen Tingyue Yu Michael Backes Yang Zhang Gianluca Stringhini 26 14 0 14 Apr 2022
Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms Saeed Mahloujifar Alexandre Sablayrolles Graham Cormode S. Jha 22 22 0 12 Apr 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 38 171 0 11 Apr 2022
Stability and Generalization of Differentially Private Minimax Problems Yilin Kang Yong Liu Jian Li Weiping Wang 32 3 0 11 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 47 19 0 07 Apr 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization B. Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran OOD 30 9 0 07 Apr 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Tiantian Feng Raghuveer Peri Shrikanth Narayanan FedML 20 28 0 05 Apr 2022
Privacy-Preserving Federated Learning via System Immersion and Random Matrix Encryption H. Hayati C. Murguia N. van de Wouw FedML 32 7 0 05 Apr 2022
A Differentially Private Framework for Deep Learning with Convexified Loss Functions Zhigang Lu Hassan Jameel Asghar M. Kâafar Darren Webb Peter Dickinson 80 15 0 03 Apr 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 59 111 0 31 Mar 2022
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning Ziyao Liu Jiale Guo Kwok-Yan Lam Jun Zhao 27 80 0 31 Mar 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey Ziyao Liu Jiale Guo Wenzhuo Yang Jiani Fan Kwok-Yan Lam Jun Zhao FedML 39 87 0 31 Mar 2022
Rethinking Portrait Matting with Privacy Preserving Sihan Ma Jizhizi Li Jing Zhang He-jun Zhang Dacheng Tao 39 23 0 31 Mar 2022
Towards Differential Relational Privacy and its use in Question Answering Simone Bombari Alessandro Achille Zijian Wang Yu Wang Yusheng Xie Kunwar Yashraj Singh Srikar Appalaraju Vijay Mahadevan Stefano Soatto 21 1 0 30 Mar 2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning Georg Pichler Marco Romanelli L. Rey Vega Pablo Piantanida FedML 38 10 0 30 Mar 2022
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation Kaiwen Zhou Xinze Wang FedML 36 8 0 28 Mar 2022
MixNN: A design for protecting deep learning models Chao Liu Hao Chen Yusen Wu Rui Jin 12 0 0 28 Mar 2022
Distributed data analytics Richard Mortier Hamed Haddadi S. S. Rodríguez Liang Wang 31 2 0 26 Mar 2022
Canary Extraction in Natural Language Understanding Models Rahil Parikh Christophe Dupuy Rahul Gupta 14 24 0 25 Mar 2022
Knowledge Removal in Sampling-based Bayesian Inference Shaopeng Fu Fengxiang He Dacheng Tao BDL MU 30 27 0 24 Mar 2022
An Empirical Study of Memorization in NLP Xiaosen Zheng Jing Jiang TDI 22 24 1 23 Mar 2022
GradViT: Gradient Inversion of Vision Transformers Ali Hatamizadeh Hongxu Yin H. Roth Wenqi Li Jan Kautz Daguang Xu Pavlo Molchanov ViT 25 63 0 22 Mar 2022
Mixed Differential Privacy in Computer Vision Aditya Golatkar Alessandro Achille Yu Wang Aaron Roth Michael Kearns Stefano Soatto PICV VLM 28 49 0 22 Mar 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 37 16 0 21 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage Ganesh Del Grosso Hamid Jalalzai Georg Pichler C. Palamidessi Pablo Piantanida MIACV 44 21 0 17 Mar 2022
SoK: Differential Privacy on Graph-Structured Data Tamara T. Mueller Dmitrii Usynin Johannes C. Paetzold Daniel Rueckert Georgios Kaissis 40 14 0 17 Mar 2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning Gorka Abad Servio Paguada Oguzhan Ersoy S. Picek Víctor Julio Ramírez-Durán A. Urbieta FedML 31 6 0 16 Mar 2022
Training a Tokenizer for Free with Private Federated Learning Eugene Bagdasaryan Congzheng Song Rogier van Dalen M. Seigel Áine Cahill FedML 27 5 0 15 Mar 2022
Reasoning over Public and Private Data in Retrieval-Based Systems Simran Arora Patrick Lewis Angela Fan Jacob Kahn Christopher Ré 33 23 0 14 Mar 2022