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Joshua Garland
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2020 – today
- 2024
- [c7]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: 742:1-742:22 - [i23]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 abs/2403.00179 (2024) - [i22]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 abs/2403.01152 (2024) - [i21]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 abs/2403.08035 (2024) - [i20]Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu:
EAGLE: A Domain Generalization Framework for AI-generated Text Detection. CoRR abs/2403.15690 (2024) - [i19]Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu:
Zero-shot LLM-guided Counterfactual Generation for Text. CoRR abs/2405.04793 (2024) - [i18]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 abs/2406.12263 (2024) - 2023
- [j4]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): 27 (2023) - [c6]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: 1337-1349 - [c5]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: 484-497 - [i17]Jana Lasser, Alina Herderich, Joshua Garland, Segun Taofeek Aroyehun, David García, Mirta Galesic:
Collective moderation of hate, toxicity, and extremity in online discussions. CoRR abs/2303.00357 (2023) - [i16]Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu:
Stylometric Detection of AI-Generated Text in Twitter Timelines. CoRR abs/2303.03697 (2023) - [i15]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 abs/2309.03164 (2023) - [i14]Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu:
LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? CoRR abs/2309.13340 (2023) - [i13]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 abs/2310.05095 (2023) - 2022
- [j3]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): 3 (2022) - 2020
- [c4]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: 102-112 - [i12]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 abs/2006.01974 (2020) - [i11]Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic:
Impact and dynamics of hate and counter speech online. CoRR abs/2009.08392 (2020) - [i10]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 abs/2010.12384 (2020) - [i9]Nadya Bliss, Elizabeth Bradley, Joshua Garland, Filippo Menczer, Scott W. Ruston, Kate Starbird, Chris Wiggins:
An Agenda for Disinformation Research. CoRR abs/2012.08572 (2020)
2010 – 2019
- 2018
- [j2]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): 931 (2018) - [i8]Joshua Garland, Andrew M. Berdahl, Jie Sun, Erik M. Bollt:
The Anatomy of Leadership in Collective Behaviour. CoRR abs/1802.01194 (2018) - [i7]Joshua Garland:
Prediction in Projection: A new paradigm in delay-coordinate reconstruction. CoRR abs/1805.07360 (2018) - [i6]Joshua Garland, Tyler R. Jones, Michael Neuder, Valerie Morris, James W. C. White, Elizabeth Bradley:
Anomaly Detection in Paleoclimate Records using Information Theory. CoRR abs/1811.01272 (2018) - 2016
- [c3]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: 343-355 - 2015
- [j1]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): 454-467 (2015) - [i5]Joshua Garland, Ryan G. James, Elizabeth Bradley:
A new method for choosing parameters in delay reconstruction-based forecast strategies. CoRR abs/1509.01740 (2015) - 2014
- [i4]David Darmon, Elisa Omodei, Joshua Garland:
Followers Are Not Enough: Beyond Structural Communities in Online Social Networks. CoRR abs/1404.0300 (2014) - [i3]Joshua Garland, Ryan G. James, Elizabeth Bradley:
Quantifying Time-Series Predictability through Structural Complexity. CoRR abs/1404.6823 (2014) - 2013
- [c2]Joshua Garland, Elizabeth Bradley:
On the Importance of Nonlinear Modeling in Computer Performance Prediction. IDA 2013: 210-222 - [i2]Joshua Garland, Elizabeth Bradley:
On the importance of nonlinear modeling in computer performance prediction. CoRR abs/1305.4924 (2013) - [i1]Joshua Garland, Ryan G. James, Elizabeth Bradley:
Determinism, Complexity, and Predictability in Computer Performance. CoRR abs/1305.5408 (2013) - 2011
- [c1]Joshua Garland, Elizabeth Bradley:
Predicting Computer Performance Dynamics. IDA 2011: 173-184
Coauthor Index
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