5 papers
Understanding Backdoor Vulnerabilities in Vertical Federated Learning: The Gap Between Research and Practice
Ziqi Zhao, Jialin Lu, Junjie Shan +3
Vertical Federated Learning (VFL) enables organizations holding complementary features of shared entities to collaborate and train models. In this setting, the initiator can withho…
TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition
Junyuan Zhang, Bin Wang, Qintong Zhang +13
Table recognition (TR) aims to transform table images into semi-structured representations such as HTML or Markdown. As a core component of document parsing, TR has long relied on…
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
Jialin Lu, Junjie Shan, Ziqi Zhao +1
As object detection becomes integral to many safety-critical applications, understanding its vulnerabilities is essential. Backdoor attacks, in particular, pose a serious threat by…
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
Junjie Shan, Ziqi Zhao, Jialin Lu +3
Foundation models that bridge vision and language have made significant progress. While they have inspired many life-enriching applications, their potential for abuse in creating n…
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
Jialin Lu, Junjie Shan, Ziqi Zhao +1
As object detection becomes integral to many safety-critical applications, understanding its vulnerabilities is essential. Backdoor attacks, in particular, pose a serious threat by…