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 / 341 papers shown

Title
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI Meghali Nandi Arash Shaghaghi Nazatul Haque Sultan Gustavo Batista Raymond K. Zhao Sanjay Jha AAML 9 0 0 16 May 2025
A Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 43 0 0 09 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 55 0 0 03 May 2025
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism Shourya Goel Himanshi Tibrewal Anant Jain Anshul Pundhir Pravendra Singh FedML 51 0 0 03 Apr 2025
FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values Yunbo Li Jiaping Gui Yue Wu FedML 66 1 0 17 Mar 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Chuanyin Wang Yifei Zhang Neng Gao Qiang Luo FedML 71 0 0 12 Mar 2025
All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs Zhaohan Xi 63 0 0 12 Mar 2025
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning S. Saif Md Jahirul Islam Md. Zihad Bin Jahangir Parag Biswas Abdur Rashid Md Abdullah Al Nasim Kishor Datta Gupta 63 0 0 12 Mar 2025
A Failure-Free and Efficient Discrete Laplace Distribution for Differential Privacy in MPC Ivan Tjuawinata Jiabo Wang Mengmeng Yang Shanxiang Lyu Huaxiong Wang Kwok-Yan Lam 49 0 0 10 Mar 2025
FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates Sangwoo Park Seanie Lee Byungjoo Kim Sung Ju Hwang FedML 47 0 0 10 Mar 2025
Privacy-Preserving Fair Synthetic Tabular Data Fatima Jahan Sarmin Atiquer R. Rahman Christopher J. Henry Noman Mohammed 50 0 0 04 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 56 2 0 01 Mar 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 88 5 0 17 Feb 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 46 0 0 20 Jan 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 82 14 0 09 Dec 2024
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks Wenhan Dong Chao Lin Xinlei He Xinyi Huang Shengmin Xu PICV 83 0 0 02 Dec 2024
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Mohamad Haj Fares Ahmed Mohamed Saad Emam Saad OOD MedIm 73 1 0 01 Dec 2024
On the Reconstruction of Training Data from Group Invariant Networks Ran Elbaz Gilad Yehudai Meirav Galun Haggai Maron 74 0 0 25 Nov 2024
Person Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors Svetlana Seliunina Artem Otelepko Raphael Memmesheimer Sven Behnke 36 0 0 17 Nov 2024
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising Tao Huang Jiayang Meng Hong Chen Guolong Zheng Xu Yang Xun Yi Hua Wang DiffM 39 2 0 05 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 4 0 03 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 32 0 0 31 Oct 2024
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation Victor Junqiu Wei Weicheng Wang Di Jiang Conghui Tan Rongzhong Lian MoMe 30 0 0 21 Oct 2024
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition Chao Tan Sheng Li Yang Cao Zhao Ren Tanja Schultz 40 0 0 17 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 32 0 0 11 Oct 2024
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 33 0 0 07 Oct 2024
Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries" T. Schneider Ajith Suresh Hossein Yalame FedML 18 9 0 30 Sep 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning Jiaxin Li Marco Arazzi Antonino Nocera Mauro Conti 36 2 0 28 Sep 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 26 0 0 28 Sep 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes Federico Mazzone Ahmad Al Badawi Y. Polyakov Maarten Everts Florian Hahn Andreas Peter MIACV AAML 36 0 0 25 Sep 2024
Data Poisoning and Leakage Analysis in Federated Learning Wenqi Wei Tiansheng Huang Zachary Yahn Anoop Singhal Margaret Loper Ling Liu FedML SILM 33 0 0 19 Sep 2024
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective Zifan Wang Binghui Zhang Meng Pang Yuan Hong Binghui Wang FedML 44 0 0 22 Aug 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 48 1 0 16 Aug 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 45 1 0 29 Jul 2024
Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies Ridhi Jain Norbert Tihanyi M. Ferrag 42 0 0 23 Jul 2024
Reconstructing Training Data From Real World Models Trained with Transfer Learning Yakir Oz Gilad Yehudai Gal Vardi Itai Antebi Michal Irani Niv Haim 38 2 0 22 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 0 13 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
A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities Arastoo Zibaeirad Farnoosh Koleini Shengping Bi Tao Hou Tao Wang AAML 44 14 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
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation Mario Villaizán-Vallelado Matteo Salvatori Carlos Segura Ioannis Arapakis MedIm DiffM 41 7 0 02 Jul 2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning Nexhi Sula Abhinav Kumar Jie Hou Han Wang R. Tourani MU 25 0 0 01 Jul 2024
A Federated Learning Approach for Multi-stage Threat Analysis in Advanced Persistent Threat Campaigns Florian Nelles Abbas Yazdinejad Ali Dehghantanha R. Parizi Gautam Srivastava 40 4 0 19 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 34 1 0 16 Jun 2024
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model Jiayang Meng Tao Huang Hong Chen Cuiping Li DiffM 31 1 0 13 Jun 2024
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain Lei Xu Yulong Chen Yuntian Chen Longfeng Nie Xuetao Wei Liang Xue Dongxiao Zhang 27 0 0 07 Jun 2024
Federated Representation Learning in the Under-Parameterized Regime Renpu Liu Cong Shen Jing Yang 26 4 0 07 Jun 2024
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients T. Eltaras Q. Malluhi Alessandro Savino S. Di Carlo Adnan Qayyum Junaid Qadir FedML 28 0 0 06 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 52 2 0 04 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024