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"HeFUN: Homomorphic Encryption for Unconstrained Secure Neural Network " by Duy Tung Khanh Nguyen, Dung Hoang Duong et al.

Homomorphic encryption (HE) has emerged as a pivotal technology for secure neural network inference (SNNI), offering privacy-preserving computations on encrypted data. Despite active developments in this field, HE-based SNNI frameworks are impeded by three inherent limitations. Firstly, they cannot evaluate non-linear functions such as (Formula presented.), the most widely adopted activation function in neural networks. Secondly, the permitted number of homomorphic operations on ciphertexts is bounded, consequently limiting the depth of neural networks that can be evaluated. Thirdly, the computational overhead associated with HE is prohibitively high, particularly for deep neural networks. In this paper, we introduce a novel paradigm designed to address the three limitations of HE-based SNNI. Our approach is an interactive approach that is solely based on HE, called iLHE. Utilizing the idea of iLHE, we present two protocols: (Formula presented.), which facilitates the direct evaluation ....

Homomorphic Encryption , Privacy Preserving Machine Learning , Ecure Neural Network Inference ,

White House AI 'Bill of Rights' may risk national security

Privacy-Preserving Machine Learning may address core concerns of the blueprint without slowing the pace of U.S. innovation ....

White House , District Of Columbia , United States , Arvind Narayanan , Jonah Cader , Cary Oreilly , Russel Wald , Internet Information Service Algorithmic Recommendation Management Provisions , Mckinsey Company , Stanford Institute For Human , Generation Ai Development Plan , Biden Administration , White House Office Of Science , Stanford University Institute For Human , European Union , Chinese Communist Party , White House Office , Technology Policy , Chinese Communist , New Generation , Human Centered Artificial Intelligence , Cold War , Stanford University , Human Centered Artificial , Federal Times Senior Managing Editor Cary , Dn Dnr ,

Opinion: When it comes to AI we need to proceed with caution and built trust

Data Scientist Dr Oisín Boydell looks at the emerging trends in Artificial Intelligence and how they impact humans and society. ....

Artificial Intelligence , Privacy Preserving Machine Learning , Preserving Machine Learning , General Data Protection Regulation , Principal Data Scientist , Applied Artificial , Artificial Intelligence ,