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cs.LG2025
Split Happens: Combating Advanced Threats with Split Learning and Function Secret Sharing
Tanveer Khan, Mindaugas Budzys, Antonis Michalas
Split Learning (SL) -- splits a model into two distinct parts to help protect client data while enhancing Machine Learning (ML) processes. Though promising, SL has proven vulnerabl…
cs.LG2024★ 1 cited
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys +2
Machine Learning (ML) has emerged as one of data science's most transformative and influential domains. However, the widespread adoption of ML introduces privacy-related concerns o…