Geahča maid

• Power-Softmax: Towards Secure LLM Inference over Encrypted Data
  Dahkki: Zimerman, Itamar, et al.
  Almmustuhtton: (2024)
• SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
  Dahkki: Mai, Peihua, et al.
  Almmustuhtton: (2025)
• Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
  Dahkki: Cotti, Luca, et al.
  Almmustuhtton: (2025)
• FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction
  Dahkki: Chen, Jiachi, et al.
  Almmustuhtton: (2025)
• Kernel-Based ReLU Approximation for Homomorphic Encryption-Compatible Privacy-preserving Deep Learning Models
  Dahkki: Sygletos, Dimitrios, et al.
  Almmustuhtton: (2026)