4 citations · 10 across the 8 of their papers we have counts for
9 papers
Using LLMs to Detect LLM-Generated Texts: A Cross-Generation Analysis
Haiyue Yuan, Jie Guo, Weidong Qiu +3
Automated detection of LLM-generated texts (LGTs) is critical, yet dedicated detectors often struggle to generalize across domains and models. While general-purpose LLMs offer flex…
FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions
Ke Hu, Liyao Xiang, Peng Tang +1
Current federated-learning models deteriorate under heterogeneous (non-I.I.D.) client data, as their feature representations diverge and pixel- or patch-level objectives fail to ca…
FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning
Yubin Zheng, Pak-Hei Yeung, Jing Xia +4
Federated learning (FL) enables multiple clients to collaboratively train machine learning models without exposing local data, balancing performance and privacy. However, domain sh…
Using LLMs for Automated Privacy Policy Analysis: Prompt Engineering, Fine-Tuning and Explainability
Yuxin Chen, Peng Tang, Weidong Qiu +1
Privacy policies are widely used by digital services and often required for legal purposes. Many machine learning based classifiers have been developed to automate detection of dif…
Everyone's Privacy Matters! An Analysis of Privacy Leakage from Real-World Facial Images on Twitter and Associated User Behaviors
Yuqi Niu, Weidong Qiu, Peng Tang +5
Online users often post facial images of themselves and other people on online social networks (OSNs) and other Web 2.0 platforms, which can lead to potential privacy leakage of pe…
A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers
Peng Tang, Xin Li, Yuxin Chen +5
Machine learning based classifiers that take a privacy policy as the input and predict relevant concepts are useful in different applications such as (semi-)automated compliance an…
PassTSL: Modeling Human-Created Passwords through Two-Stage Learning
Yangde Wang, Haozhang Li, Weidong Qiu +2
Textual passwords are still the most widely used user authentication mechanism. Due to the close connections between textual passwords and natural languages, advanced technologies…
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
Yubin Zheng, Peng Tang, Tianjie Ju +2
Medical image segmentation plays a vital role in clinic disease diagnosis and medical image analysis. However, labeling medical images for segmentation task is tough due to the ind…
Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights
Ke Hu, WeiDong Qiu, Peng Tang
In the field of federated learning, addressing non-independent and identically distributed (non-i.i.d.) data remains a quintessential challenge for improving global model performan…