Joshua Garland

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Scaled Orthographic

Robust Detection

Top Venues

Publications

Jimin Mun, Cathy Buerger, Jenny T. Liang, Joshua Garland, Maarten Sap
Counterspeakers' Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate. CHI (2024)
Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. CoRR (2024)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
EAGLE: A Domain Generalization Framework for AI-generated Text Detection. CoRR (2024)
Jimin Mun, Cathy Buerger, Jenny T. Liang, Joshua Garland, Maarten Sap
Counterspeakers' Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate. CoRR (2024)
Tharindu Kumarage, Amrita Bhattacharjee, Joshua Garland
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection. CoRR (2024)
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
Defending Against Social Engineering Attacks in the Age of LLMs. CoRR (2024)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
Zero-shot LLM-guided Counterfactual Generation for Text. CoRR (2024)
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
Correction: Impact and dynamics of hate and counter speech online. EPJ Data Sci. 12 (1) (2023)
Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. EMNLP (Findings) (2023)
Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. CoRR (2023)
Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. CoRR (2023)
Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. IJCNLP (1) (2023)
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu
Stylometric Detection of AI-Generated Text in Twitter Timelines. CoRR (2023)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? CoRR (2023)
Jana Lasser, Alina Herderich, Joshua Garland, Segun Taofeek Aroyehun, David García, Mirta Galesic
Collective moderation of hate, toxicity, and extremity in online discussions. CoRR (2023)
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
Impact and dynamics of hate and counter speech online. EPJ Data Sci. 11 (1) (2022)
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
Impact and dynamics of hate and counter speech online. CoRR (2020)
Nadya Bliss, Elizabeth Bradley, Joshua Garland, Filippo Menczer, Scott W. Ruston, Kate Starbird, Chris Wiggins
An Agenda for Disinformation Research. CoRR (2020)
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
Countering hate on social media: Large scale classification of hate and counter speech. WOAH (2020)
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
Countering hate on social media: Large scale classification of hate and counter speech. CoRR (2020)
Michael Neuder, Elizabeth Bradley, Edward J. Dlugokencky, James W. C. White, Joshua Garland
Detection of Local Mixing in Time-Series Data Using Permutation Entropy. CoRR (2020)
Joshua Garland, Andrew M. Berdahl, Jie Sun, Erik Bollt
The Anatomy of Leadership in Collective Behaviour. CoRR (2018)
Joshua Garland, Tyler R. Jones, Michael Neuder, Valerie Morris, James W. C. White, Elizabeth Bradley
Anomaly Detection in Paleoclimate Records Using Permutation Entropy. Entropy 20 (12) (2018)
Joshua Garland
Prediction in Projection: A new paradigm in delay-coordinate reconstruction. CoRR (2018)
Joshua Garland, Tyler R. Jones, Michael Neuder, Valerie Morris, James W. C. White, Elizabeth Bradley
Anomaly Detection in Paleoclimate Records using Information Theory. CoRR (2018)
Joshua Garland, Tyler R. Jones, Elizabeth Bradley, Ryan G. James, James W. C. White
A First Step Toward Quantifying the Climate's Information Production over the Last 68, 000 Years. IDA (2016)
Joshua Garland, Ryan G. James, Elizabeth Bradley
A new method for choosing parameters in delay reconstruction-based forecast strategies. CoRR (2015)
Erik Komendera, Joshua Garland, Elizabeth Bradley, Daniel J. Scheeres
Efficiently evaluating reachable sets in the circular restricted 3-body problem. IEEE Trans. Aerosp. Electron. Syst. 51 (1) (2015)
David Darmon, Elisa Omodei, Joshua Garland
Followers Are Not Enough: Beyond Structural Communities in Online Social Networks. CoRR (2014)
Joshua Garland, Ryan G. James, Elizabeth Bradley
Quantifying Time-Series Predictability through Structural Complexity. CoRR (2014)
Joshua Garland, Ryan G. James, Elizabeth Bradley
Determinism, Complexity, and Predictability in Computer Performance CoRR (2013)
Joshua Garland, Elizabeth Bradley
On the importance of nonlinear modeling in computer performance prediction CoRR (2013)
Joshua Garland, Elizabeth Bradley
On the Importance of Nonlinear Modeling in Computer Performance Prediction. IDA (2013)
Joshua Garland, Elizabeth Bradley
Predicting Computer Performance Dynamics. IDA (2011)