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Daniel Escudero

2 accepted papers

2025

EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption

ICML 2025poster

As large language models (LLMs) become more powerful, the computation required to run these models is increasingly outsourced to a third-party cloud. While this saves clients' computation, it risks leaking the clients' LLM queries to the cloud provider. Fully homomorphic encryption (FHE) presents a…

Cited by 0SourcePDFScholar
2025

Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapy

IJCAI 2025

Noble metal-based photoactive complexes have applications in photodynamic therapy (PDT), but their toxicity and high cost drive interest in sustainable and cheaper alternatives like iron-based compounds. In this paper, quantum chemistry and classical molecular dynamics were employed to characterize

Cited by 0SourcePDFScholar