3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CR2026
Reconstruction of Personally Identifiable Information from Proprietary Data in Supervised Fine-Tuned Models
Sae Furukawa, Alina Oprea
Supervised Finetuning (SFT) has become one of the primary methods for adapting a large language model (LLM) with extensive pre-trained knowledge to domain-specific, instruction-fol…
cs.SD2024★ 3 cited
Towards the Development of a Real-Time Deepfake Audio Detection System in Communication Platforms
Jonat John Mathew, Rakin Ahsan, Sae Furukawa +6
Deepfake audio poses a rising threat in communication platforms, necessitating real-time detection for audio stream integrity. Unlike traditional non-real-time approaches, this stu…