Hi! I’m Thai Le. I’m currently an assistant professor at University of Mississippi (Ole Miss). My research interest lies in Trustworthy Machine Learning for NLP applications at large, with narrow topics in explainable AI, adversarial attack & robustness and computational misinformation.
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Penn State
- https://lethaiq.github.io/
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GRACE_KDD20
GRACE_KDD20 PublicGRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon Lee. 26th ACM SIGKDD Int’l Conf. on Knowledge Discovery and …
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ACL2021-DARCY-HoneypotDefenseNLP
ACL2021-DARCY-HoneypotDefenseNLP PublicThai Le, Noseong Park, Dongwon Lee. A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks. 59th Annual Meeting of the Association for Computational Linguis…
Python 4
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Adversarial_SocialBots_WWW22
Adversarial_SocialBots_WWW22 PublicSource code for the paper "Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning." (Web Conference 2022)
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shield-defend-adversarial-texts
shield-defend-adversarial-texts PublicRepository of the paper "SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher" accepted to ACL'22
Python 10
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