2 citations · 3 across the 5 of their papers we have counts for
5 papers
RecTable: Fast Modeling Tabular Data with Rectified Flow
Masane Fuchi, Tomohiro Takagi
Score-based or diffusion models generate high-quality tabular data, surpassing GAN-based and VAE-based models. However, these methods require substantial training time. In this pap…
Construction and Evaluation of LLM-based agents for Semi-Autonomous penetration testing
Masaya Kobayashi, Masane Fuchi, Amar Zanashir +2
With the emergence of high-performance large language models (LLMs) such as GPT, Claude, and Gemini, the autonomous and semi-autonomous execution of tasks has significantly advance…
Erasing with Precision: Evaluating Specific Concept Erasure from Text-to-Image Generative Models
Masane Fuchi, Tomohiro Takagi
Studies have been conducted to prevent specific concepts from being generated from pretrained text-to-image generative models, achieving concept erasure in various ways. However, t…
Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
Masane Fuchi, Tomohiro Takagi
Generating images from text has become easier because of the scaling of diffusion models and advancements in the field of vision and language. These models are trained using vast a…
ResBit: Residual Bit Vector for Categorical Values
Masane Fuchi, Amar Zanashir, Hiroto Minami +1
One-hot vectors, a common method for representing discrete/categorical data, in machine learning are widely used because of their simplicity and intuitiveness. However, one-hot vec…