activity
20152025
most citedFake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks

93 citations · 169 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2025

Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?

Yufei He, Yuexin Li, Jiaying Wu +3

As large language models (LLMs) continue to evolve, ensuring their alignment with human goals and values remains a pressing challenge. A key concern is \textit{instrumental converg…

cs.CV2024★ 2 cited

ID: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Shen Li, Jianqing Xu, Jiaying Wu +7

Synthetic face recognition (SFR) aims to generate synthetic face datasets that mimic the distribution of real face data, which allows for training face recognition models in a priv…

cs.CL2023★ 93 cited

Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks

Jiaying Wu, Jiafeng Guo, Bryan Hooi

It is commonly perceived that fake news and real news exhibit distinct writing styles, such as the use of sensationalist versus objective language. However, we emphasize that style…

cs.CL2023★ 23 cited

Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection

Jiaying Wu, Shen Li, Ailin Deng +2

Despite considerable advances in automated fake news detection, due to the timely nature of news, it remains a critical open question how to effectively predict the veracity of new…

cs.SI2023★ 42 cited

DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection

Jiaying Wu, Bryan Hooi

Recent efforts in fake news detection have witnessed a surge of interest in using graph neural networks (GNNs) to exploit rich social context. Existing studies generally leverage f…

cs.LG2023★ 4 cited

Proximity-Informed Calibration for Deep Neural Networks

Miao Xiong, Ailin Deng, Pang Wei Koh +4

Confidence calibration is central to providing accurate and interpretable uncertainty estimates, especially under safety-critical scenarios. However, we find that existing calibrat…

cs.SI2022

Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks

Jiaying Wu, Bryan Hooi

As social media becomes a hotbed for the spread of misinformation, the crucial task of rumor detection has witnessed promising advances fostered by open-source benchmark datasets.…

cs.DC2015★ 5 cited

Hadoop Scheduling Base On Data Locality

Bo Jiang, Jiaying Wu, Xiuyu Shi +1

In hadoop, the job scheduling is an independent module, users can design their own job scheduler based on their actual application requirements, thereby meet their specific busines…