4 citations · 5 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…