Privacy-Preserving Machine Learning (PPML) Inference for Clinically Actionable Models by Baris Balaban, Seyma Selcan Magara, Caglar Yilgor, Altug Yucekul, Ibrahim Obeid, Javier Pizones, Frank Kleinstueck, Francisco Javier Sanchez Perez-Grueso, Ferran Pellise, Ahmet Alanay, Erkay Savas, Cetin Bagci, Osman Ugur Sezerman

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BloomDT - An improved privacy-preserving decision tree inference scheme by Sean Lalla, Rongxing Lu, Yunguo Guan, Songnian Zhang

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Privacy-Preserving Rule Induction Using CKKS by Jihyeon Choi, Jina Choi, Younho Lee, Jung-Sik Hong

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Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption by Hong Cheng

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FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making by Rashmi Nagpal, Unyimeabasi Usua, Rafael Palacios, Amar Gupta

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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference by Sadhana Selvakumar, B. Senthilkumar

Subjects: “…Privacy-preserving machine learning…”
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Real-Time Financial Fraud Detection Using Adaptive Graph Neural Networks and Federated Learning by Milad Rahmati

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Privacy-Preserving Machine Learning for IoT-Integrated Smart Grids: Recent Advances, Opportunities, and Challenges by Mazhar Ali, Moharana Suchismita, Syed Saqib Ali, Bong Jun Choi

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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans by Abdullah Al-Saleh, Ghanshyam G. Tejani, Shailendra Mishra, Sunil Kumar Sharma, Seyed Jalaleddin Mousavirad

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Edge-FLGuard: A Federated Learning Framework for Real-Time Anomaly Detection in 5G-Enabled IoT Ecosystems by Manuel J. C. S. Reis

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Efficient Keyset Design for Neural Networks Using Homomorphic Encryption by Youyeon Joo, Seungjin Ha, Hyunyoung Oh, Yunheung Paek

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GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks by Nges Brian Njungle, Eric Jahns, Zhenqi Wu, Luigi Mastromauro, Milan Stojkov, Michel A. Kinsy

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A Survey on Privacy-Preserving Machine Learning Inference by Stanisław Barański

Subjects: “…Privacy-Preserving Machine Learning…”
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