v1v2v3 (latest)

Exploiting Unintended Feature Leakage in Collaborative Learning

10 May 2018

Luca Melis

Congzheng Song

Emiliano De Cristofaro

Vitaly Shmatikov

FedML

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Papers citing "Exploiting Unintended Feature Leakage in Collaborative Learning"

50 / 666 papers shown

Title
Data Exfiltration by Compression Attack: Definition and Evaluation on Medical Image Data Huiyu Li N. Ayache H. Delingette MIACV AAML MedIm 695 0 0 26 Nov 2025
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents Yixin Wu Rui Wen Chi Cui Michael Backes Yang Zhang AAML 157 0 0 24 Nov 2025
Enhancing Federated Learning Privacy with QUBO Andras Ferenczi Sutapa Samanta Dagen Wang Todd Hodges FedML 180 0 0 04 Nov 2025
Personal Attribute Leakage in Federated Speech Models Hamdan Al-Ali Ali Reza Ghavamipour Tommaso Caselli Fatih Turkmen Zeerak Talat Hanan Aldarmaki 92 0 0 15 Oct 2025
An Investigation of Memorization Risk in Healthcare Foundation Models S. Tonekaboni Lena Stempfle Adibvafa Fallahpour Walter Gerych Elisa Kreiss 109 0 0 14 Oct 2025
CoSIFL: Collaborative Secure and Incentivized Federated Learning with Differential Privacy Zhanhong Xie Meifan Zhang Lihua Yin FedML 90 0 0 27 Sep 2025
FedBit: Accelerating Privacy-Preserving Federated Learning via Bit-Interleaved Packing and Cross-Layer Co-Design Xiangchen Meng Yangdi Lyu FedML 56 0 0 27 Sep 2025
Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations Alexandru Ioniţă Andreea Ioniţă FedML 76 0 0 25 Sep 2025
Uncovering Privacy Vulnerabilities through Analytical Gradient Inversion Attacks T. Eltaras Q. Malluhi Alessandro Savino S. Di Carlo Adnan Qayyum AAML 138 0 0 23 Sep 2025
Differentially private federated learning for localized control of infectious disease dynamics Raouf Kerkouche Henrik Zunker Mario Fritz Martin J. Kühn 36 0 0 17 Sep 2025
Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks Asim Waheed Vasisht Duddu Rui Zhang S. Szyller AAML 201 1 0 15 Sep 2025
Efficient Byzantine-Robust Privacy-Preserving Federated Learning via Dimension Compression Xian Qin Xue Yang Xiaohu Tang 85 0 0 15 Sep 2025
Perfectly-Private Analog Secure Aggregation in Federated Learning Delio Jaramillo-Velez Charul Rajput Ragnar Freij-Hollanti Camilla Hollanti Alexandre Graell i Amat FedML 108 0 0 10 Sep 2025
Beyond ATE: Multi-Criteria Design for A/B Testing Jiachun Li Kaining Shi David Simchi-Levi 97 0 0 06 Sep 2025
Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators Simone Bottoni Giulio Zizzo S. Braghin Alberto Trombetta AAML FedML 151 0 0 05 Sep 2025
Adversarial Robustness in Distributed Quantum Machine Learning Pouya Kananian Hans-Arno Jacobsen OOD AAML 112 0 0 16 Aug 2025
SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning Borui Li Li Yan Jianmin Liu FedML 132 0 0 06 Aug 2025
FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning T. Nguyen Khoa D. Doan Kok-Seng Wong FedML AAML 82 1 0 06 Aug 2025
Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks K. Li Di Wu Jun Bai Jing Xu Lei Yang Ziyi Zhang Yiliao Song Wencheng Yang Taotao Cai Yan Li AAML FedML 160 0 0 26 Jul 2025
Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning R. Bhope K.R. Jayaram Praveen Venkateswaran N. Venkatasubramanian OOD 241 1 0 23 Jun 2025
Black-Box Privacy Attacks on Shared Representations in Multitask Learning John Abascal Nicolás Berrios Alina Oprea Jonathan R. Ullman Adam D. Smith Matthew Jagielski MLAU 216 0 0 19 Jun 2025
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 214 0 0 13 Jun 2025
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Rui Wen Yiyong Liu Michael Backes Yang Zhang AAML 184 2 0 09 Jun 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 265 0 0 07 Jun 2025
Hey, That's My Data! Label-Only Dataset Inference in Large Language Models Chen Xiong Zihao Wang Rui Zhu Tsung-Yi Ho Pin-Yu Chen Jingwei Xiong Haixu Tang Lucila Ohno-Machado 191 1 0 06 Jun 2025
When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive LearningACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025 Ruining Sun Hongsheng Hu Wei Luo Zhaoxi Zhang Yanjun Zhang Haizhuan Yuan Leo Yu Zhang MIACV AAML 303 1 0 06 Jun 2025
GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSSIEEE Transactions on Computational Social Systems (IEEE TCSS), 2025 Jiayi Wan Xiang Zhu Fanzhen Liu Wei Fan Xiaolong Xu FedML 147 0 0 04 Jun 2025
Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation C. Sabater Sonia Ben Mokhtar J. Ramon FedML 209 0 0 04 Jun 2025
Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning Md Nahid Hasan Shuvo Moinul Hossain FedML 81 0 0 02 Jun 2025
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Yuanzhe Peng Jieming Bian Lei Wang Yin Huang Jie Xu 191 0 0 27 May 2025
Instance Data Condensation for Image Super-Resolution Tianhao Peng Ho Man Kwan Yuxuan Jiang Ge Gao Fan Zhang Xiaozhong Xu Shan Liu David Bull DD 237 1 0 27 May 2025
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy Jiahao Xu Rui Hu Olivera Kotevska FedML 240 1 0 19 May 2025
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AIACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025 Meghali Nandi Arash Shaghaghi Nazatul Haque Sultan Gustavo Batista Raymond K. Zhao Sanjay Jha AAML 368 0 0 16 May 2025
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated LearningConference on Uncertainty in Artificial Intelligence (UAI), 2025 Francesco Diana André Nusser Chuan Xu Giovanni Neglia 352 0 0 15 May 2025
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation Heqing Ren Chao Feng Alberto Huertas Burkhard Stiller 200 0 0 11 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 386 3 0 03 May 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data DistributionIEEE International Conference on Distributed Computing Systems (ICDCS), 2025 Lina Wang Yunsheng Yuan Chunxiao Wang Feng Li FedML 325 0 0 31 Mar 2025
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation Shiyi Jiang F. Firouzi Krishnendu Chakrabarty AAML MedIm 218 2 0 19 Mar 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Chuanyin Wang Yifei Zhang Neng Gao Qiang Luo FedML 400 0 0 12 Mar 2025
All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs Zhaohan Xi 216 0 0 12 Mar 2025
FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates Sangwoo Park Seanie Lee Byungjoo Kim Sung Ju Hwang FedML 203 1 0 10 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 503 4 0 10 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 209 5 0 10 Mar 2025
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning Mingcong Xu Xiaojin Zhang Wei Chen Hai Jin FedML 176 0 0 08 Mar 2025
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2025 Handi Chen Rui Zhou Yun-Hin Chan Zhihan Jiang Xianhao Chen Edith C.H. Ngai 232 9 0 06 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference SystemsComputer Vision and Pattern Recognition (CVPR), 2025 Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 264 5 0 01 Mar 2025
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory StudyProceedings on Privacy Enhancing Technologies (PoPETs), 2024 Ayana Moshruba Ihsen Alouani Maryam Parsa AAML 248 5 0 24 Feb 2025
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification Anan Kabaha Dana Drachsler-Cohen AAML 337 1 0 23 Feb 2025
Beyond the Crawl: Unmasking Browser Fingerprinting in Real User InteractionsThe Web Conference (WWW), 2025 Meenatchi Sundaram Muthu Selva Annamalai Igor Bilogrevic Emiliano De Cristofaro 312 2 0 03 Feb 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning F. Stricker J. A. Peregrina D. Bermbach C. Zirpins FedML 281 1 0 31 Jan 2025