Enhancing Intrusion Detection In Internet Of Vehicles Through Federated Learning
Authors: Abhishek Sebastian, Pragna R, Sudhakaran G, Renjith P N, Leela Karthikeyan H | Published: 2023-11-23
Privacy Protection
From Principle to Practice: Vertical Data Minimization for Machine Learning
Authors: Robin Staab, Nikola Jovanović, Mislav Balunović, Martin Vechev | Published: 2023-11-17 | Updated: 2023-11-22
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?
Authors: Robert A. Bridges, Vandy J. Tombs, Christopher B. Stanley | Published: 2023-11-15 | Updated: 2024-06-11
Input Reconstruction Attack against Vertical Federated Large Language Models
Authors: Fei Zheng | Published: 2023-11-07 | Updated: 2023-11-24
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Authors: Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He | Published: 2023-10-14 | Updated: 2024-06-06
Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
Authors: Hassan Jameel Asghar, Zhigang Lu, Zhongrui Zhao, Dali Kaafar | Published: 2023-10-04 | Updated: 2024-10-07
zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning
Authors: Zhipeng Wang, Nanqing Dong, Jiahao Sun, William Knottenbelt, Yike Guo | Published: 2023-10-04 | Updated: 2024-05-10
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Authors: Jorge Castillo, Phillip Rieger, Hossein Fereidooni, Qian Chen, Ahmad Sadeghi | Published: 2023-10-03
Generating tabular datasets under differential privacy
Authors: Gianluca Truda | Published: 2023-08-28
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Authors: Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa | Published: 2023-08-23 | Updated: 2024-06-16