output
20082025
most citedStealing Machine Learning Models via Prediction APIs

733 citations

14 papers

cs.HC2025★ 8 cited

Exploring Data-Driven Advocacy in Home Health Care Work

Joy Ming, Hawi H Tolera, Jiamin Tu +6

This paper explores opportunities and challenges for data-driven advocacy to support home care workers, an often overlooked group of low-wage, frontline health workers. First, we i…

cs.HC2024★ 16 cited

Saharaline: A Collective Social Support Intervention for Teachers in Low-Income Indian Schools

Rama Adithya Varanasi, Aditya Vashistha, Nicola Dell

This paper presents Saharaline, an intervention designed to provide collective social support for teachers in low-income schools. Implemented as a WhatsApp-based helpline, Saharali…

math.OC2023★ 120 cited

Operational Research: Methods and Applications

Fotios Petropoulos, Gilbert Laporte, Emel Aktas +79

Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This…

econ.GN2022★ 3 cited

Implementing a Hierarchical Deep Learning Approach for Simulating Multi-Level Auction Data

Igor Sadoune, Andrea Lodi, Marcelin Joanis

We present a deep learning solution to address the challenges of simulating realistic synthetic first-price sealed-bid auction data. The complexities encountered in this type of au…

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.AI2021★ 2 cited

Toward a New Science of Common Sense

Ronald J. Brachman, Hector J. Levesque

Common sense has always been of interest in Artificial Intelligence, but has rarely taken center stage. Despite its mention in one of John McCarthy's earliest papers and years of w…