Predicting Computer Performance Dynamics. - Joshua Garland; Elizabeth Bradley (IDA, 2011)

On the Importance of Nonlinear Modeling in Computer Performance Prediction. - Joshua Garland; Elizabeth Bradley (IDA, 2013)

Determinism, Complexity, and Predictability in Computer Performance - Joshua Garland; Ryan G. James; Elizabeth Bradley (CoRR, 2013)

Followers Are Not Enough: Beyond Structural Communities in Online Social Networks. - David Darmon; Elisa Omodei; Joshua Garland (CoRR, 2014)

Quantifying Time-Series Predictability through Structural Complexity. - Joshua Garland; Ryan G. James; Elizabeth Bradley (CoRR, 2014)

A new method for choosing parameters in delay reconstruction-based forecast strategies. - Joshua Garland; Ryan G. James; Elizabeth Bradley (CoRR, 2015)

Efficiently evaluating reachable sets in the circular restricted 3-body problem. - Erik Komendera; Joshua Garland; Elizabeth Bradley; Daniel J. Scheeres (IEEE Trans. Aerosp. Electron. Syst., 2015)

A First Step Toward Quantifying the Climate's Information Production over the Last 68, 000 Years. - Joshua Garland; Tyler R. Jones; Elizabeth Bradley; Ryan G. James; James W. C. White (IDA, 2016)

The Anatomy of Leadership in Collective Behaviour. - Joshua Garland; Andrew M. Berdahl; Jie Sun; Erik M. Bollt (CoRR, 2018)

Prediction in Projection: A new paradigm in delay-coordinate reconstruction. - Joshua Garland (CoRR, 2018)

Anomaly Detection in Paleoclimate Records using Information Theory. - Joshua Garland; Tyler R. Jones; Michael Neuder; Valerie Morris; James W. C. White; Elizabeth Bradley (CoRR, 2018)

Anomaly Detection in Paleoclimate Records Using Permutation Entropy. - Joshua Garland; Tyler R. Jones; Michael Neuder; Valerie Morris; James W. C. White; Elizabeth Bradley (Entropy, 2018)

Countering hate on social media: Large scale classification of hate and counter speech. - Joshua Garland; Keyan Ghazi-Zahedi; Jean-Gabriel Young; Laurent Hébert-Dufresne; Mirta Galesic (WOAH, 2020)

Detection of Local Mixing in Time-Series Data Using Permutation Entropy. - Michael Neuder; Elizabeth Bradley; Edward J. Dlugokencky; James W. C. White; Joshua Garland (CoRR, 2020)

An Agenda for Disinformation Research. - Nadya Bliss; Elizabeth Bradley; Joshua Garland; Filippo Menczer; Scott W. Ruston; Kate Starbird; Chris Wiggins 001 (CoRR, 2020)

Impact and dynamics of hate and counter speech online. - Joshua Garland; Keyan Ghazi-Zahedi; Jean-Gabriel Young; Laurent Hébert-Dufresne; Mirta Galesic (EPJ Data Sci., 2022)

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. - Tharindu Kumarage; Paras Sheth; Raha Moraffah; Joshua Garland; Huan Liu 001 (EMNLP (Findings), 2023)

J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. - Tharindu Kumarage; Amrita Bhattacharjee; Djordje Padejski; Kristy Roschke; Dan Gillmor; Scott W. Ruston; Huan Liu 001; Joshua Garland (IJCNLP (1), 2023)

Collective moderation of hate, toxicity, and extremity in online discussions. - Jana Lasser; Alina Herderich; Joshua Garland; Segun Taofeek Aroyehun; David García 001; Mirta Galesic (CoRR, 2023)

Stylometric Detection of AI-Generated Text in Twitter Timelines. - Tharindu Kumarage; Joshua Garland; Amrita Bhattacharjee; Kirill Trapeznikov; Scott W. Ruston; Huan Liu 001 (CoRR, 2023)

LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? - Amrita Bhattacharjee; Raha Moraffah; Joshua Garland; Huan Liu 001 (CoRR, 2023)

Correction: Impact and dynamics of hate and counter speech online. - Joshua Garland; Keyan Ghazi-Zahedi; Jean-Gabriel Young; Laurent Hébert-Dufresne; Mirta Galesic (EPJ Data Sci., 2023)

Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation. - Amrita Bhattacharjee; Raha Moraffah; Joshua Garland; Huan Liu 001 (IEEE Big Data, 2024)

Counterspeakers' Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate. - Jimin Mun; Cathy Buerger; Jenny T. Liang; Joshua Garland; Maarten Sap (CHI, 2024)

Defending Against Social Engineering Attacks in the Age of LLMs. - Lin Ai; Tharindu Kumarage; Amrita Bhattacharjee; Zizhou Liu; Zheng Hui; Michael Davinroy; James Cook; Laura Cassani; Kirill Trapeznikov; Matthias Kirchner; Arslan Basharat; Anthony Hoogs; et al. (EMNLP, 2024)

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. - Tharindu Kumarage; Garima Agrawal; Paras Sheth; Raha Moraffah; Aman Chadha; Joshua Garland; Huan Liu 001 (CoRR, 2024)

Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection. - Tharindu Kumarage; Amrita Bhattacharjee; Joshua Garland (CoRR, 2024)

EAGLE: A Domain Generalization Framework for AI-generated Text Detection. - Amrita Bhattacharjee; Raha Moraffah; Joshua Garland; Huan Liu 001 (CoRR, 2024)

Zero-shot LLM-guided Counterfactual Generation for Text. - Amrita Bhattacharjee; Raha Moraffah; Joshua Garland; Huan Liu 001 (CoRR, 2024)

Personalized Attacks of Social Engineering in Multi-turn Conversations - LLM Agents for Simulation and Detection. - Tharindu Kumarage; Cameron Johnson; Jadie Adams; Lin Ai; Matthias Kirchner; Anthony Hoogs; Joshua Garland; Julia Hirschberg; Arslan Basharat; Huan Liu 001 (CoRR, 2025)