2 papers
stat.ME2026
Causal Inference of Ordinal Outcomes: A Bayesian Solution
Rituparna Dey, Pradipta Sarkar, Tirthankar Dasgupta
Randomized experiments with ordinal outcomes are common in many scientific applications, but conventional causal estimands such as the average treatment effect are difficult to int…
cs.CR2025
Detecting and Preventing Data Poisoning Attacks on AI Models
Halima I. Kure, Pradipta Sarkar, Ahmed B. Ndanusa +1
This paper investigates the critical issue of data poisoning attacks on AI models, a growing concern in the ever-evolving landscape of artificial intelligence and cybersecurity. As…