← Authors

Thai Le

24 papers · 2020–2026 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (41) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (14) πŸ”¬ Deep Specialist (11) ❓ The Questioner πŸ’Ž Century Club (23) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (97) πŸ”₯ Unstoppable (6)

Conferences

EMNLP (11) ACL (7) AAAI (3) NAACL (2) IJCNLP (1)

Top co-authors

Dongwon Lee (14) Adaku Uchendu (7) Noseong Park (3) Saranya Venkatraman (3) Robert Moro (2) Tuc Van Nguyen (2) Yifan Hu (2) Tuc Nguyen (2) Jason Lucas (2) Ivan Srba (2)

Research topics

Privacy (1)

Keywords

text classification (9) adversarial attack (9) authorship attribution (8) large language model (5) language model (4) machine-generated text detection (3) authorship verification (2) authorship obfuscation (2) text perturbation (2) parameter-efficient fine-tuning (2) domain adaptation (2) pre-trained language model (2) black-box attack (2) explainable ai (2) deepfake detection (2) adversarial robustness (2) adversarial defense (2) neural text generation (2) misinformation detection (2) transformer model (2)

Papers

Style-First Authorship Verification for Academic Integrity in the Generative AI Era (Student Abstract) AAAI 2026
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection NAACL 2025
What You Read Isn’t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection EMNLP 2025
Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification EMNLP 2025
Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models EMNLP 2025
The Dangers of Indirect Prompt Injection Attacks on LLM-based Autonomous Web Navigation Agents: A Demonstration EMNLP 2025
NOMATTERXAI: Generating β€œNo Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models AAAI 2025
ALISON: Fast and Effective Stylometric Authorship Obfuscation AAAI 2024
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts ACL 2024
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning ACL 2024
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models ACL 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024
Catch Me If You GPT: Tutorial on Deepfake Texts NAACL 2024
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis EMNLP 2023
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark EMNLP 2023
β€œAre Your Explanations Reliable?” Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack EMNLP 2023
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher ACL 2022
Detecting False Claims in Low-Resource Regions: A Case Study of Caribbean Islands ACL 2022
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense ACL 2022
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks IJCNLP 2021
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation EMNLP 2021
Authorship Attribution for Neural Text Generation EMNLP 2020