activity
20202025
most citedBiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

260 citations · 392 across the 22 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

cs.LG2023★ 1 cited

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise

Yixin Liu, Kaidi Xu, Xun Chen +1

The open source of large amounts of image data promotes the development of deep learning techniques. Along with this comes the privacy risk of these open-source image datasets bein…

cs.LG2023

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning

Mengxin Zheng, Jiaqi Xue, Xun Chen +3

Prompt tuning is one of the most effective solutions to adapting a fixed pre-trained language model (PLM) for various downstream tasks, especially with only a few input samples. Ho…

cs.CV2023★ 1 cited

MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning

Yixin Liu, Chenrui Fan, Yutong Dai +3

Text-to-image diffusion models allow seamless generation of personalized images from scant reference photos. Yet, these tools, in the wrong hands, can fabricate misleading or harmf…

cs.CR2023★ 1 cited

GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation

Yixin Liu, Chenrui Fan, Xun Chen +2

As Graph Neural Networks (GNNs) become increasingly prevalent in a variety of fields, from social network analysis to protein-protein interaction studies, growing concerns have eme…

cs.CR2023

MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems

Hanqing Guo, Xun Chen, Junfeng Guo +2

Speaker Verification (SV) is widely deployed in mobile systems to authenticate legitimate users by using their voice traits. In this work, we propose a backdoor attack MASTERKEY, t…

cs.CL2023★ 260 cited

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

Kai Zhang, Rong Zhou, Eashan Adhikarla +20

Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to ut…