Thai Le
25 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
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π Cross-Pollinator (13) π Academic Marathon (5) π Interdisciplinary Bridge π Conference Polyglot (5) π Renaissance Researcher (7)
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Academic Marathon
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Conferences
EMNLP (11)
ACL (8)
AAAI (3)
NAACL (2)
IJCNLP (1)
Top co-authors
Research topics
Keywords
adversarial attack
(10)
text classification
(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
PARASITE: Conditional System Prompt Poisoning to Hijack LLMs
ACL 2026
What You Read Isnβt 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
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
NAACL 2025
Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models
EMNLP 2025
NOMATTERXAI: Generating βNo Matter Whatβ Alterfactual Examples for Explaining Black-Box Text Classification Models
AAAI 2025
The Dangers of Indirect Prompt Injection Attacks on LLM-based Autonomous Web Navigation Agents: A Demonstration
EMNLP 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
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis
EMNLP 2023
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
EMNLP 2023
βAre Your Explanations Reliable?β Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack
EMNLP 2023
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning
EMNLP 2023
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense
ACL 2022
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
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Triggerβs Adversarial Attacks
ACL 2021
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Triggerβs Adversarial Attacks
IJCNLP 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