Cryptopolitan

Fhenix shifts focus from ZK proofs, TEEs, and MPC as leading on-chain privacy and confidential DeFi solution

In an X Space broadcast hosted on6, Fhenix founder Guy Zyskind dived into how the firm’s newest product - Fully Homomorphic ...
IEEE

Invited Paper: Pushing SIMD Efficiency in Homomorphic Encryption for Machine Learning via Pattern-Aware Ciphertext Encoding

Abstract: Homomorphic Encryption (HE) provides strong privacy guarantees by enabling computation directly on encrypted data, but at the cost of substantial computational overhead. Despite recent ...
IEEE

Privacy-Preserving Intelligence-based Reinforcement Learning for Large Language Model via Homomorphic Encryption

Abstract: Reinforcement learning (RL) is a widely used framework for sequential decision-making, but conventional RL often struggles with sparse rewards, limited reasoning, and long-horizon ...
Devdiscourse

Privacy-preserving AI becomes critical for Industry 4.0

Industry 4.0 depends on continuous data exchange between sensors, machines, production lines, and enterprise systems, but much of this data cannot be centralized due to privacy, security, and ...