GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
Authors: Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas | Published: 2024-01-26
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MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
Authors: Prajwal Panzade, Daniel Takabi, Zhipeng Cai | Published: 2024-01-17
Local Privacy-preserving Mechanisms and Applications in Machine Learning
Authors: Likun Qin, Tianshuo Qiu | Published: 2024-01-08
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach
Authors: Mahtab Talaei, Iman Izadi | Published: 2024-01-04
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems
Authors: Iker Perez, Jason Wong, Piotr Skalski, Stuart Burrell, Richard Mortier, Derek McAuley, David Sutton | Published: 2024-01-03
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms
Authors: Sofia Zahri, Hajar Bennouri, Ahmed M. Abdelmoniem | Published: 2023-12-24
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
Authors: Keyi Ju, Xiaoqi Qin, Hui Zhong, Xinyue Zhang, Miao Pan, Baoling Liu | Published: 2023-12-18 | Updated: 2024-03-07
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication
Authors: Hyunmin Choi, Simon Woo, Hyoungshick Kim | Published: 2023-12-18 | Updated: 2024-04-01
When PETs misbehave: A Contextual Integrity analysis
Authors: Ero Balsa, Yan Shvartzshnaider | Published: 2023-12-05
Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models
Authors: Mohamed R. Shoaib, Zefan Wang, Milad Taleby Ahvanooey, Jun Zhao | Published: 2023-11-29