Van Thanh Le Van Thanh Le hover

Hello, I'm Van Thanh Le

I am a second-year Computer Engineering Ph.D. student at Northeastern University, advised by Professor Raymond Fu.

Previously, I had two wonderful years as an AI Research Resident at VinAI Research under the supervision of Dr. Anh Tran.

My research aims to improve the safety and efficiency of deep generative models, especially for image and video generation. I am also interested in adapting these methods for robot control.


Publications

VisiLock: Authorizing Instruction-based Image editing with Dual Score Distillation (hover) VisiLock: Authorizing Instruction-based Image editing with Dual Score Distillation

VisiLock: Authorizing Instruction-based Image editing with Dual Score Distillation

Van Thanh Le, Yun Fu
CVPR, 2026

Proposes the first access-control mechanism for instruction-based image editing without architectural changes.

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher

ECCV, 2024

An improved SwiftBrush that makes the one-step diffusion student outperform its multi-step teacher.

Anti-DreamBooth: Protecting Users from Personalized Text-to-Image Synthesis

Anti-DreamBooth: Protecting Users from Personalized Text-to-Image Synthesis

ICCV, 2023

By perturbing users' images with adversarial noise, the images become unusable for DreamBooth to generate subject-driven, photorealistic forgeries.

Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis

Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis

CVPR, 2023

An efficient and geometry-invariant generator for synthesizing high-resolution images without using spatial convolutions or a coarse-to-fine design.