activity
20232025
most citedControlling risks of AI in chemical science with agents

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning

Weitao Feng, Lixu Wang, Peizhuo Lv +5

As large language models (LLMs) continue to grow in capability, so do the risks of harmful misuse through fine-tuning. While most prior studies assume that attackers rely on superv…

cs.CV2025

CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design

Weitao Feng, Hang Zhou, Jing Liao +2

We present a novel approach for indoor scene synthesis, which learns to arrange decomposed cuboid primitives to represent 3D objects within a scene. Unlike conventional methods tha…

cs.CR2024★ 1 cited

AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA

Weitao Feng, Wenbo Zhou, Jiyan He +6

Diffusion models have achieved remarkable success in generating high-quality images. Recently, the open-source models represented by Stable Diffusion (SD) are thriving and are acce…

cs.AI2023★ 6 cited

Controlling risks of AI in chemical science with agents

Jiyan He, Weitao Feng, Haoxiang Guan +11

Artificial intelligence is rapidly advancing scientific discovery, but this progress carries risks of misuse, such as the creation of harmful substances, or circumvention of establ…

cs.CR2023★ 3 cited

Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking

Weitao Feng, Jiyan He, Jie Zhang +4

AIGC (AI-Generated Content) has achieved tremendous success in many applications such as text-to-image tasks, where the model can generate high-quality images with diverse prompts,…