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CAFE: Catastrophic Data Leakage in Vertical Federated Learning

26 October 2021

Tianyi Chen

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Papers citing "CAFE: Catastrophic Data Leakage in Vertical Federated Learning"

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Title
Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise Utsab Saha Tanvir Muntakim Tonoy Hafiz Imtiaz 0 0 0 12 Sep 2025
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Md Fazle Rasul Alanood Alqobaisi Bruhadeshwar Bezawada I. Ray AAML FedML 0 0 0 11 Sep 2025
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions Daniel Gutiérrez Yelizaveta Falkouskaya Jose L. Hernandez-Ramos Aris Anagnostopoulos I. Chatzigiannakis A. Vitaletti FedML 36 0 0 19 Aug 2025
Evading Data Provenance in Deep Neural Networks Hongyu Zhu Sichu Liang Wenwen Wang Zhuomeng Zhang Fangqi Li Shi-Lin Wang AAML 85 0 0 01 Aug 2025
VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning Juntao Tan Anran Li Quanchao Liu Peng Ran Lan Zhang AAML 36 0 0 19 Jul 2025
LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning Zeyu Yan Yifei Yao Xuanbing Wen Shixiong Zhang Juli Zhang Kai Fan AAML 106 0 0 07 Jun 2025
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Yuanzhe Peng Jieming Bian Lei Wang Yin Huang Jie Xu 111 0 0 27 May 2025
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 249 0 0 14 Apr 2025
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks Huzaifa Arif K. Murugesan Payel Das Alex Gittens Pin-Yu Chen AAML 129 0 0 08 Apr 2025
VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning Zilong Zhao Han Wu Aad van Moorsel L. Chen FedML 140 3 0 17 Feb 2025
UNITE-FND: Reframing Multimodal Fake News Detection through Unimodal Scene Translation Arka Mukherjee Shreya Ghosh 78 0 0 16 Feb 2025
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly Zhaomin Wu Zhen Qin Junyi Hou Haodong Zhao Qinbin Li Bingsheng He Lixin Fan FedML 148 2 0 12 Feb 2025
A Self-Learning Multimodal Approach for Fake News Detection Hao Chen Hui Guo Baochen Hu Shu Hu Jinrong Hu Siwei Lyu Xi Wu Xinze Wang 158 2 0 08 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 199 4 0 02 Dec 2024
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Ruijie Du Yezi Liu Athina Markopolou Yanning Shen FedML 154 3 0 29 Nov 2024
Optimal Defenses Against Gradient Reconstruction Attacks Yuxiao Chen Gamze Gürsoy Qi Lei FedML AAML 138 1 0 06 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 113 1 0 31 Oct 2024
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation Yukun Jiang Peiran Wang Chengguo Lin Ziyue Huang Yong Cheng 100 1 0 11 Oct 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 85 1 0 28 Sep 2024
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification Yungi Cho Woorim Han Miseon Yu Younghan Lee Ho Bae Y. Paek AAML FedML 108 3 0 28 Aug 2024
Unlocking the Potential of Binding Corporate Rules (BCRs) in Health Data Transfers Marcelo Corrales Compagnucci Mark Fenwick Helena Haapio 38 1 0 31 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 150 3 0 20 Jul 2024
SimClone: Detecting Tabular Data Clones using Value Similarity Xu Yang Gopi Krishnan Rajbahadur Dayi Lin Shaowei Wang Zhen Ming Jiang 124 1 0 24 Jun 2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Yuan Yao Gongxi Zhu Bowen Li Jie Li Lixin Fan Qiang Yang 124 1 0 03 Jun 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 196 10 0 25 May 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 102 13 0 22 May 2024
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy Yichuan Shi Olivera Kotevska Viktor Reshniak Abhishek Singh Ramesh Raskar AAML 92 3 0 16 May 2024
GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge Jin Qian Kaimin Wei Yongdong Wu Jilian Zhang Jipeng Chen Huan Bao 95 3 0 06 May 2024
On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum Ka-Ho Chow Xuyu Wang Wenbin Zhang Yanzhao Wu FedML 75 3 0 15 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 141 6 0 13 Apr 2024
Analysis of Privacy Leakage in Federated Large Language Models Minh Nhat Vu Truc D. T. Nguyen Tre' R. Jeter My T. Thai 99 9 0 02 Mar 2024
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning Yue Cui Liuyi Yao Zitao Li Yaliang Li Bolin Ding Xiaofang Zhou FedML 113 0 0 23 Feb 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 178 9 0 06 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 157 28 0 02 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning M. Hayashitani Junki Mori Isamu Teranishi FedML 176 1 0 01 Feb 2024
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Liu Ya-Qin Zhang FedML 125 8 0 15 Oct 2023
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation Sunpreet S. Arora Andrew Beams Panagiotis Chatzigiannis Sebastian Meiser Karan Patel ... Harshal Shah Yizhen Wang Yuhang Wu Hao Yang Mahdi Zamani FedML 81 5 0 06 Oct 2023
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification Shanshan Han Wenxuan Wu Baturalp Buyukates Weizhao Jin Qifan Zhang Yuhang Yao Salman Avestimehr Chaoyang He AAML 63 1 0 06 Oct 2023
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? Xiaoxiao Sun Nidham Gazagnadou Vivek Sharma Lingjuan Lyu Hongdong Li Liang Zheng 136 9 0 22 Sep 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions Haobo Zhang Junyuan Hong Yuyang Deng M. Mahdavi Jiayu Zhou FedML 168 9 0 22 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Fei Dou Jin Ye Geng Yuan Qin Lu Wei Niu ... Hongyue Sun Yunli Shao Changying Li Tianming Liu Wenzhan Song AI4CE 114 30 0 14 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 111 5 0 08 Sep 2023
Unlocking Accuracy and Fairness in Differentially Private Image Classification Leonard Berrada Soham De J. Shen Jamie Hayes Robert Stanforth David Stutz Pushmeet Kohli Samuel L. Smith Borja Balle 104 16 0 21 Aug 2023
Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings Yuxi Mi Hongquan Liu Yewei Xia Yiheng Sun Jihong Guan Shuigeng Zhou FedML 89 1 0 26 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 162 5 0 05 Jul 2023
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks Zhaomin Wu Junyi Hou Bin He FedML 185 5 0 05 Jul 2023
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization Ganyu Wang Qingsong Zhang Li Xiang Boyu Wang Bin Gu Charles Ling FedML 106 6 0 28 Jun 2023
Your Room is not Private: Gradient Inversion Attack on Reinforcement Learning Miao Li Wenhao Ding Ding Zhao AAML 82 3 0 15 Jun 2023
Temporal Gradient Inversion Attacks with Robust Optimization Bowen Li Jie Li Hanlin Gu Ruoxin Chen Jie Li Chentao Wu Na Ruan Xueming Si Lixin Fan AAML 84 2 0 13 Jun 2023
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning Kostadin Garov Dimitar I. Dimitrov Nikola Jovanović Martin Vechev AAML FedML 154 11 0 05 Jun 2023