4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CR2022★ 1 cited
Federated Calibration and Evaluation of Binary Classifiers
Graham Cormode, Igor Markov
We address two major obstacles to practical use of supervised classifiers on distributed private data. Whether a classifier was trained by a federation of cooperating clients or tr…
cs.CL2022★ 4 cited
Data-Driven Mitigation of Adversarial Text Perturbation
Rasika Bhalerao, Mohammad Al-Rubaie, Anand Bhaskar +1
Social networks have become an indispensable part of our lives, with billions of people producing ever-increasing amounts of text. At such scales, content policies and their enforc…
cs.CL2021
Regular Expressions for Fast-response COVID-19 Text Classification
Igor L. Markov, Jacqueline Liu, Adam Vagner
Text classifiers are at the core of many NLP applications and use a variety of algorithmic approaches and software. This paper introduces infrastructure and methodologies for text…