MockingBERT: Making Transformer Models Resilient to Adversarial Misspellings
-
Updated
May 25, 2022 - Jupyter Notebook
MockingBERT: Making Transformer Models Resilient to Adversarial Misspellings
Code to generate and extend the TCAB dataset.
public ML and AI resources
End-to-end NLI classifier on the Adversarial NLI (ANLI) Round 2 benchmark — EDA, baselines, DeBERTa-v3 evaluation (base & large), error analysis, FastAPI inference API with live model switching, Docker deployment, and interactive web UI.
On-premise SLM security framework for HR pay equity compliance. Adversarial evaluation dataset (HR-PayEquity-Adv) + MLPM / Llama Guard 3 8B pipeline. Companion code for KRiT 2026.
Add a description, image, and links to the adversarial-nlp topic page so that developers can more easily learn about it.
To associate your repository with the adversarial-nlp topic, visit your repo's landing page and select "manage topics."