output
20112026
most citedStealing Machine Learning Models via Prediction APIs

733 citations

Showing cs.CLShow all

7 papers · 1 filter

cs.CL2024★ 1 cited

DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization

John X. Morris, Thomas R. Campion, Sri Laasya Nutheti +4

Sharing protected health information (PHI) is critical for furthering biomedical research. Before data can be distributed, practitioners often perform deidentification to remove an…

cs.CL2023★ 7 cited

To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing

Sireesh Gururaja, Amanda Bertsch, Clara Na +2

NLP is in a period of disruptive change that is impacting our methodologies, funding sources, and public perception. In this work, we seek to understand how to shape our future by…

cs.CL2022★ 331 cited

Human heuristics for AI-generated language are flawed

Maurice Jakesch, Jeffrey Hancock, Mor Naaman

Human communication is increasingly intermixed with language generated by AI. Across chat, email, and social media, AI systems suggest words, complete sentences, or produce entire…

cs.CL2019★ 10 cited

Understanding BERT performance in propaganda analysis

Yiqing Hua

In this paper, we describe our system used in the shared task for fine-grained propaganda analysis at sentence level. Despite the challenging nature of the task, our pretrained BER…

cs.CL2018

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community

Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli +3

We present a corpus that encompasses the complete history of conversations between contributors to Wikipedia, one of the largest online collaborative communities. By recording the…

cs.CL2018★ 16 cited

Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction

Dipendra Misra, Andrew Bennett, Valts Blukis +3

We propose to decompose instruction execution to goal prediction and action generation. We design a model that maps raw visual observations to goals using LINGUNET, a language-cond…