4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Adversarially Robust Detection of Harmful Online Content: A Computational Design Science Approach
Yidong Chai, Yi Liu, Mohammadreza Ebrahimi +2
Social media platforms are plagued by harmful content such as hate speech, misinformation, and extremist rhetoric. Machine learning (ML) models are widely adopted to detect such co…
cs.LG2024★ 1 cited
From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models
Yuncong Yang, Xiao Han, Yidong Chai +3
Recent privacy regulations (e.g., GDPR) grant data subjects the `Right to Be Forgotten' (RTBF) and mandate companies to fulfill data erasure requests from data subjects. However, c…
cs.LG2020★ 4 cited
Deep Learning for Information Systems Research
Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan +2
Artificial Intelligence (AI) has rapidly emerged as a key disruptive technology in the 21st century. At the heart of modern AI lies Deep Learning (DL), an emerging class of algorit…