Joshua Garland

According to our database, Joshua Garland authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Zero-shot LLM-guided Counterfactual Generation for Text.

Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu

CoRR, 2024

EAGLE: A Domain Generalization Framework for AI-generated Text Detection.

Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu

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

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

CoRR, 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, Joshua Garland, Huan Liu, Julia Hirschberg

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation.

Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu

Proceedings of the IEEE International Conference on Big Data, 2024

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., December, 2023

LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers?

Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu

CoRR, 2023

Stylometric Detection of AI-Generated Text in Twitter Timelines.

Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu

CoRR, 2023

Collective moderation of hate, toxicity, and extremity in online discussions.

Jana Lasser, Alina Herderich, Joshua Garland, Segun Taofeek Aroyehun, David García, Mirta Galesic

CoRR, 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, Joshua Garland

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts.

Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

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

2020

An Agenda for Disinformation Research.

Nadya Bliss, Elizabeth Bradley, Joshua Garland, Filippo Menczer, Scott W. Ruston, Kate Starbird, Chris Wiggins

CoRR, 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

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

Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

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

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

Prediction in Projection: A new paradigm in delay-coordinate reconstruction.

Joshua Garland

CoRR, 2018

The Anatomy of Leadership in Collective Behaviour.

Joshua Garland, Andrew M. Berdahl, Jie Sun, Erik M. Bollt

CoRR, 2018

2016

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

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

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 new method for choosing parameters in delay reconstruction-based forecast strategies.

Joshua Garland, Ryan G. James, Elizabeth Bradley

CoRR, 2015

2014

Quantifying Time-Series Predictability through Structural Complexity.

Joshua Garland, Ryan G. James, Elizabeth Bradley

CoRR, 2014

Followers Are Not Enough: Beyond Structural Communities in Online Social Networks.

David Darmon, Elisa Omodei, Joshua Garland

CoRR, 2014

2013

Determinism, Complexity, and Predictability in Computer Performance

Joshua Garland, Ryan G. James, Elizabeth Bradley

CoRR, 2013

On the Importance of Nonlinear Modeling in Computer Performance Prediction.

Joshua Garland, Elizabeth Bradley

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2011

Predicting Computer Performance Dynamics.

Joshua Garland, Elizabeth Bradley

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011