v1v2v3 (latest)

Exploiting Unintended Feature Leakage in Collaborative Learning

10 May 2018

Luca Melis

Congzheng Song

Emiliano De Cristofaro

Vitaly Shmatikov

FedML

ArXiv (abs)PDF HTML

Papers citing "Exploiting Unintended Feature Leakage in Collaborative Learning"

50 / 666 papers shown

Title
Co(ve)rtex: ML Models as storage channels and their (mis-)applications Md Abdullah Al Mamun Quazi Mishkatul Alam Erfan Shayegani Pedram Zaree Ihsen Alouani Nael B. Abu-Ghazaleh 257 0 0 17 Jul 2023
Information-Theoretically Private Federated Submodel Learning with Storage Constrained DatabasesIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023 Sajani Vithana S. Ulukus FedML 211 1 0 12 Jul 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future DirectionsFundamental Research (FR), 2023 Bingnan Xiao Xichen Yu Wei Ni Xin Wang H. Vincent Poor 207 32 0 03 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-offACM Computing Surveys (ACM Comput. Surv.), 2023 Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 220 69 0 25 Jun 2023
Locally Differentially Private Distributed Online Learning with Guaranteed OptimalityIEEE Transactions on Automatic Control (TAC), 2023 Ziqin Chen Yongqiang Wang 266 6 0 25 Jun 2023
DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum Xiaolan Gu Ming Li Lishuang Xiong FedML 275 9 0 22 Jun 2023
Differentially Private Over-the-Air Federated Learning Over MIMO Fading ChannelsIEEE Transactions on Wireless Communications (IEEE TWC), 2023 Hang Liu Jiahe Yan Y. Zhang 185 9 0 19 Jun 2023
Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data A. Abdelmoniem 119 1 0 19 Jun 2023
FedMultimodal: A Benchmark For Multimodal Federated LearningKnowledge Discovery and Data Mining (KDD), 2023 Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 335 89 0 15 Jun 2023
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID ScenariosIEEE International Joint Conference on Neural Network (IJCNN), 2023 Haochen Mei Gaolei Li Jun Wu Longfei Zheng SILM AAML 203 15 0 13 Jun 2023
AnoFel: Supporting Anonymity for Privacy-Preserving Federated LearningProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Ghada Almashaqbeh Zahra Ghodsi FedML 168 3 0 12 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models Hailong Hu Jun Pang DiffM 295 5 0 08 Jun 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMsKnowledge Discovery and Data Mining (KDD), 2023 Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 306 32 0 08 Jun 2023
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning Kostadin Garov Dimitar I. Dimitrov Nikola Jovanović Martin Vechev AAML FedML 512 11 0 05 Jun 2023
Training Data Extraction From Pre-trained Language Models: A Survey Shotaro Ishihara 273 52 0 25 May 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 153 24 0 25 May 2023
Privacy Implications of Retrieval-Based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Yangsibo Huang Samyak Gupta Zexuan Zhong Keqin Li Danqi Chen RALM 180 42 0 24 May 2023
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information Lin Duan Jingwei Sun Yiran Chen M. Gorlatova 113 5 0 17 May 2023
Private Training Set Inspection in MLaaS Mingxue Xu Tongtong Xu Po-Yu Chen 210 0 0 15 May 2023
Securing Distributed SGD against Gradient Leakage ThreatsIEEE Transactions on Parallel and Distributed Systems (TPDS), 2023 Wenqi Wei Ling Liu Jingya Zhou Ka-Ho Chow Yanzhao Wu FedML 164 28 0 10 May 2023
DPMLBench: Holistic Evaluation of Differentially Private Machine LearningConference on Computer and Communications Security (CCS), 2023 Chengkun Wei Ming-Hui Zhao Zhikun Zhang Min Chen Wenlong Meng Bodong Liu Yuan-shuo Fan Wenzhi Chen 349 17 0 10 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher InformationNeural Information Processing Systems (NeurIPS), 2023 Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 201 13 0 06 May 2023
Over-the-Air Federated Averaging with Limited Power and Privacy BudgetsIEEE Transactions on Communications (IEEE Trans. Commun.), 2023 Na Yan Kezhi Wang Cunhua Pan K. K. Chai Feng Shu Jiangzhou Wang FedML 140 6 0 05 May 2023
Reconstructing Training Data from Multiclass Neural Networks G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Michal Irani 95 6 0 05 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 257 6 0 04 May 2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge ComputingIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Yi Shi Kang Wei Li Shen Jun Li Xueqian Wang Bo Yuan Song Guo 246 8 0 02 May 2023
Exactly Optimal and Communication-Efficient Private Estimation via Block DesignsIEEE Journal on Selected Areas in Information Theory (JSAIT), 2023 Hyun-Young Park Seungsoo Nam Si-Hyeon Lee 394 6 0 02 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential PrivacyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 249 5 0 01 May 2023
Private Information Retrieval and Its Applications: An Introduction, Open Problems, Future Directions Sajani Vithana Zhusheng Wang S. Ulukus 227 5 0 27 Apr 2023
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-ThingsIEEE Transactions on Industrial Informatics (IEEE TII), 2023 Aditya Pribadi Kalapaaking Ibrahim Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman X. Yi Mahathir Almashor FedML 155 102 0 25 Apr 2023
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking AttacksEuropean Symposium on Research in Computer Security (ESORICS), 2023 Yunlong Mao Zexi Xin Zhenyu Li Jue Hong Qingyou Yang Sheng Zhong MIACV AAML 177 15 0 19 Apr 2023
Permutation Equivariance of Transformers and Its ApplicationsComputer Vision and Pattern Recognition (CVPR), 2023 Hengyuan Xu Liyao Xiang Hang Ye Dixi Yao Pengzhi Chu Baochun Li 277 23 0 16 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy DefenseACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023 Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 187 5 0 11 Apr 2023
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph EmbeddingThe Web Conference (WWW), 2023 Yuke Hu Wei Liang Ruofan Wu Kai Y. Xiao Weiqiang Wang Xiaochen Li Jinfei Liu Zhan Qin 172 17 0 06 Apr 2023
FACE-AUDITOR: Data Auditing in Facial Recognition SystemsUSENIX Security Symposium (USENIX Security), 2023 Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 212 22 0 05 Apr 2023
Scalable and Privacy-Preserving Federated Principal Component AnalysisIEEE Symposium on Security and Privacy (IEEE S&P), 2023 D. Froelicher Hyunghoon Cho Manaswitha Edupalli João Sá Sousa Jean-Philippe Bossuat Apostolos Pyrgelis J. Troncoso-Pastoriza Bonnie Berger Jean-Pierre Hubaux FedML 233 22 0 31 Mar 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of PartiesBigData Congress [Services Society] (BSS), 2023 Jingwei Sun Zhixu Du Anna Dai Saleh Baghersalimi Alireza Amirshahi David Atienza Yiran Chen FedML 156 8 0 28 Mar 2023
Edge-Based Video Analytics: A Survey Di Wu Zhenxiao Luo A. Pasdar Young Choon Lee Yipeng Zhou Di Wu 294 24 0 25 Mar 2023
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model ManipulationIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Joshua C. Zhao Atul Sharma A. Elkordy Yahya H. Ezzeldin Salman Avestimehr S. Bagchi AAML FedML 173 52 0 21 Mar 2023
Manipulating Transfer Learning for Property InferenceComputer Vision and Pattern Recognition (CVPR), 2023 Yulong Tian Fnu Suya Anshuman Suri Fengyuan Xu David Evans AAML 174 9 0 21 Mar 2023
Make Landscape Flatter in Differentially Private Federated LearningComputer Vision and Pattern Recognition (CVPR), 2023 Yi Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao FedML 199 86 0 20 Mar 2023
Efficient and Secure Federated Learning for Financial ApplicationsApplied Sciences (Appl. Sci.), 2023 Tao Liu Zhi Wang Hui He Wei Shi Liangliang Lin Wei Shi Ran An Chenhao Li FedML 157 36 0 15 Mar 2023
Private Read-Update-Write with Controllable Information Leakage for Storage-Efficient Federated Learning with Top $r$ SparsificationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023 Sajani Vithana S. Ulukus FedML 138 7 0 07 Mar 2023
Client-specific Property Inference against Secure Aggregation in Federated Learning Raouf Kerkouche G. Ács Mario Fritz FedML 239 12 0 07 Mar 2023
Active Membership Inference Attack under Local Differential Privacy in Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Truc D. T. Nguyen Phung Lai K. Tran Nhathai Phan My T. Thai FedML 237 30 0 24 Feb 2023
Subspace based Federated Unlearning Guang-Ming Li Li Shen Yan Sun Yuejun Hu Han Hu Dacheng Tao MU FedML 139 27 0 24 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and PrivacyThe Web Conference (WWW), 2023 Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 356 62 0 21 Feb 2023
A Federated Approach for Hate Speech DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Jay Gala Deep Gandhi Jash Mehta Zeerak Talat 129 5 0 18 Feb 2023
Multimodal Federated Learning via Contrastive Representation EnsembleInternational Conference on Learning Representations (ICLR), 2023 Qiying Yu Yang Liu Yimu Wang Ke Xu Jingjing Liu 143 117 0 17 Feb 2023
On the Privacy-Robustness-Utility Trilemma in Distributed LearningInternational Conference on Machine Learning (ICML), 2023 Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 205 31 0 09 Feb 2023