Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

24 February 2017

Papers citing "Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning"

50 / 159 papers shown

Title
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 21 13 0 05 Jul 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 40 132 0 15 Jun 2022
Subject Membership Inference Attacks in Federated Learning Anshuman Suri Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson 30 25 0 07 Jun 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 52 0 18 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 27 7 0 05 May 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning Jin Xu Chi Hong Jiyue Huang L. Chen Jérémie Decouchant AAML FedML 19 21 0 28 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 20 15 0 26 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 30 106 0 31 Mar 2022
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework Jikun Chen Feng Qiang Na Ruan FedML 14 1 0 27 Mar 2022
Distributed data analytics Richard Mortier Hamed Haddadi S. S. Rodríguez Liang Wang 21 2 0 26 Mar 2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis Yuwei Sun H. Ochiai Jun Sakuma AAML FedML 35 15 0 22 Mar 2022
The Dark Side: Security Concerns in Machine Learning for EDA Zhiyao Xie Jingyu Pan Chen-Chia Chang Yiran Chen 8 4 0 20 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 24 119 0 18 Mar 2022
Privatized Graph Federated Learning Elsa Rizk Stefan Vlaski A. H. Sayed FedML 6 4 0 14 Mar 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 24 26 0 10 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 21 34 0 09 Mar 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 17 69 0 02 Mar 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 17 37 0 21 Feb 2022
Variational Model Inversion Attacks Kuan-Chieh Jackson Wang Yanzhe Fu Ke Li Ashish Khisti R. Zemel Alireza Makhzani MIACV 11 95 0 26 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta B. Hitaj F. Pérez-Cruz L. Mancini FedML 25 10 0 21 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 29 21 0 12 Jan 2022
Feature Space Hijacking Attacks against Differentially Private Split Learning Grzegorz Gawron P. Stubbings AAML 21 20 0 11 Jan 2022
Gradient Leakage Attack Resilient Deep Learning Wenqi Wei Ling Liu SILM PILM AAML 22 46 0 25 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 20 9 0 19 Dec 2021
Location Leakage in Federated Signal Maps Evita Bakopoulou Justin Ley Jiang Zhang Konstantinos Psounis A. Markopoulou FedML 20 5 0 07 Dec 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning Yuezhou Wu Yan Kang Jiahuan Luo Yuanqin He Qiang Yang FedML AAML 17 68 0 16 Nov 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 26 31 0 14 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 32 16 0 20 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 14 79 0 13 Sep 2021
Secure and Privacy-Preserving Federated Learning via Co-Utility J. Domingo-Ferrer Alberto Blanco-Justicia Jesús Manjón David Sánchez FedML 11 37 0 04 Aug 2021
Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks Yuwei Sun N. Chong H. Ochiai FedML AAML 7 9 0 02 Aug 2021
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness Yuwei Sun H. Ochiai Hiroshi Esaki FedML 68 45 0 30 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 17 71 0 04 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 19 81 0 02 Jul 2021
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack Gilad Gressel Niranjan Hegde A. Sreekumar Rishikumar Radhakrishnan Kalyani Harikumar Michael C. Darling Krishnashree Achuthan AAML 61 16 0 28 Jun 2021
A Fusion-Denoising Attack on InstaHide with Data Augmentation Xinjian Luo X. Xiao Yuncheng Wu Juncheng Liu Beng Chin Ooi FedML PICV 44 7 0 17 May 2021
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks Jian Chen Xuxin Zhang Rui Zhang Chen Wang Ling Liu AAML 17 86 0 08 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 44 243 0 29 Apr 2021
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity Mathias Parisot Balázs Pejó Dayana Spagnuelo MIACV 19 33 0 27 Apr 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 71 80 0 26 Apr 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk A. H. Sayed FedML 31 21 0 26 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 25 460 0 15 Apr 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning Sylvain Chatel Apostolos Pyrgelis J. Troncoso-Pastoriza Jean-Pierre Hubaux 15 14 0 16 Mar 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson R. Harpaz Steve Bright FedML 8 9 0 12 Mar 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification Timour Igamberdiev Ivan Habernal GNN 31 33 0 10 Feb 2021
secureTF: A Secure TensorFlow Framework D. Quoc Franz Gregor Sergei Arnautov Roland Kunkel Pramod Bhatotia Christof Fetzer 44 40 0 20 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning David Enthoven Zaid Al-Ars FedML 55 14 0 01 Jan 2021
Confidential Machine Learning on Untrusted Platforms: A Survey Sagar Sharma Keke Chen FedML 14 15 0 15 Dec 2020