Effectiveness of a phishing warning in field settings. - Weining Yang; Jing Chen 005; Aiping Xiong; Robert W. Proctor; Ninghui Li (HotSoS, 2015)

An Empirical Study of Mnemonic Sentence-based Password Generation Strategies. - Weining Yang; Ninghui Li; Omar Chowdhury; Aiping Xiong; Robert W. Proctor (CCS, 2016)

Use of Phishing Training to Improve Security Warning Compliance: Evidence from a Field Experiment. - Weining Yang; Aiping Xiong; Jing Chen 005; Robert W. Proctor; Ninghui Li (HotSoS, 2017)

Is Domain Highlighting Actually Helpful in Identifying Phishing Web Pages? - Aiping Xiong; Robert W. Proctor; Weining Yang; Ninghui Li (Hum. Factors, 2017)

Trust It or Not: Effects of Machine-Learning Warnings in Helping Individuals Mitigate Misinformation. - Haeseung Seo; Aiping Xiong; Dongwon Lee 001 (WebSci, 2019)

Stimulus-Response and Response-Effect Compatibility With Touchless Gestures and Moving Action Effects. - Markus Janczyk; Aiping Xiong; Robert W. Proctor (Hum. Factors, 2019)

Embedding Training Within Warnings Improves Skills of Identifying Phishing Webpages. - Aiping Xiong; Robert W. Proctor; Weining Yang; Ninghui Li (Hum. Factors, 2019)

Beyond Cognitive Ability: Susceptibility to Fake News Is Also Explained by Associative Inference. - Sian Lee; Joshua P. Forrest; Jessica Strait; Haeseung Seo; Dongwon Lee 001; Aiping Xiong (CHI Extended Abstracts, 2020)

Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension. - Aiping Xiong; Tianhao Wang 001; Ninghui Li; Somesh Jha (SP, 2020)

All the Wiser: Fake News Intervention Using User Reading Preferences. - Kuan-Chieh Lo; Shih-Chieh Dai; Aiping Xiong; Jing Jiang 001; Lun-Wei Ku (WSDM, 2021)

Escape from An Echo Chamber. - Kuan-Chieh Lo; Shih-Chieh Dai; Aiping Xiong; Jing Jiang 001; Lun-Wei Ku (WWW (Companion Volume), 2021)

ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System. - Youngseung Jeon; Bogoan Kim; Aiping Xiong; Dongwon Lee 001; Kyungsik Han (Proc. ACM Hum. Comput. Interact., 2021)

Learning and Programming Challenges of Rust: A Mixed-Methods Study. - Shuofei Zhu; Ziyi Zhang; Boqin Qin; Aiping Xiong; Linhai Song (ICSE, 2022)

If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation. - Haeseung Seo; Aiping Xiong; Sian Lee; Dongwon Lee 001 (ICWSM, 2022)

Ask to Know More: Generating Counterfactual Explanations for Fake Claims. - Shih-Chieh Dai; Yi-Li Hsu; Aiping Xiong; Lun-Wei Ku (KDD, 2022)

VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading. - Kuan-Chieh Lo; Shih-Chieh Dai; Aiping Xiong; Jing Jiang 001; Lun-Wei Ku (WWW, 2022)

Beyond Bot Detection: Combating Fraudulent Online Survey Takers✱. - Ziyi Zhang; Shuofei Zhu; Jaron Mink; Aiping Xiong; Linhai Song; Gang Wang 011 (WWW, 2022)

Using Illustrations to Communicate Differential Privacy Trust Models: An Investigation of Users' Comprehension, Perception, and Data Sharing Decision. - Aiping Xiong; Chuhao Wu; Tianhao Wang 001; Robert W. Proctor; Jeremiah Blocki; Ninghui Li; Somesh Jha (CoRR, 2022)

LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis. - Shih-Chieh Dai; Aiping Xiong; Lun-Wei Ku (EMNLP (Findings), 2023)

Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term. - Yi-Li Hsu; Shih-Chieh Dai; Aiping Xiong; Lun-Wei Ku (EMNLP (Findings), 2023)

Associative Inference Can Increase People's Susceptibility to Misinformation. - Sian Lee; Haeseung Seo; Dongwon Lee 001; Aiping Xiong (ICWSM, 2023)

Understand Users' Privacy Perception and Decision of V2X Communication in Connected Autonomous Vehicles. - Zekun Cai; Aiping Xiong (USENIX Security Symposium, 2023)

Poster: Effects of Knowledge and Experience on Drivers' Intention to Use CAVs. - Zekun Cai; Aiping Xiong (VehicleSec, 2023)

Human Drivers' Situation Awareness of Autonomous Driving Under Physical-world Attacks. - Katherine S. Zhang; Claire Chen; Aiping Xiong (VehicleSec, 2023)

The Strange Case of Jekyll and Hyde: Analysis of R/ToastMe and R/RoastMe Users on Reddit. - Wooyong Jung; Nishant Asati; Phuong (Lucy) Doan; Thai Le; Aiping Xiong; Dongwon Lee 001 (ICWSM, 2024)

Does It Matter Who Said It? Exploring the Impact of Deepfake-Enabled Profiles on User Perception towards Disinformation. - Margie Ruffin; Haeseung Seo; Aiping Xiong; Gang Wang 011 (ICWSM, 2024)

Reliability Matters: Exploring the Effect of AI Explanations on Misinformation Detection with a Warning. - Haeseung Seo; Sian Lee; Dongwon Lee 001; Aiping Xiong (ICWSM, 2024)

Enhancing Perception: Refining Explanations of News Claims with LLM Conversations. - Yi-Li Hsu; Jui-Ning Chen; Yang Fan Chiang; Shang-Chien Liu; Aiping Xiong; Lun-Wei Ku (NAACL-HLT (Findings), 2024)

Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations. - Mahjabin Nahar; Haeseung Seo; Eun-Ju Lee 001; Aiping Xiong; Dongwon Lee 001 (CoRR, 2024)

A Study of Training Strategies on Enhancing Human Detection of AI-Synthesized Faces. - Ester Chen; Haeseung Seo; Margie Ruffin; Dongwon Lee 001; Gang Wang 011; Aiping Xiong (ICWSM, 2025)

Partisan Fact-Checkers' Warnings Can Effectively Correct Individuals' Misbeliefs About Political Misinformation. - Sian Lee; Haeseung Seo; Aiping Xiong; Dongwon Lee 001 (ICWSM, 2025)

Towards Understanding Unsafe Video Generation. - Yan Pang; Aiping Xiong; Yang Zhang 016; Tianhao Wang 001 (NDSS, 2025)

Human Drivers' Awareness of Utility and Privacy Risks of Vehicle-to-Everything Communication: A Driving Simulator Study. - Zekun Cai; Rao Li; Aiping Xiong (VehicleSec, 2025)

Partisan Fact-Checkers' Warnings Can Effectively Correct Individuals' Misbeliefs About Political Misinformation. - Sian Lee; Haeseung Seo; Aiping Xiong; Dongwon Lee (CoRR, 2025)

Introduction to the Special Issue on Security and Privacy in Safety-Critical Cyber-Physical Systems. - Ning Zhang 017; Bryan C. Ward; Andrew Clark 001; Ziming Zhao 001; Aiping Xiong (ACM Trans. Cyber Phys. Syst., 2025)

Effect of AI Performance, Risk Perception, and Trust on Human Dependence in Deepfake Detection AI system. - Yingfan Zhou; Ester Chen; Manasa Pisipati; Aiping Xiong; Sarah Rajtmajer (CoRR, 2025)