Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. - Robin D. Burke; Bamshad Mobasher; Runa Bhaumik; Chad Williams (ICDM, 2005)

Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation. - Bamshad Mobasher; Robin D. Burke; Chad Williams; Runa Bhaumik (WEBKDD, 2005)

Classification features for attack detection in collaborative recommender systems. - Robin D. Burke; Bamshad Mobasher; Chad Williams; Runa Bhaumik (KDD, 2006)

Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach. - Chad Williams; Bamshad Mobasher; Robin D. Burke; Runa Bhaumik (WEBKDD, 2006)

Detecting Profile Injection Attacks in Collaborative Recommender Systems. - Robin D. Burke; Bamshad Mobasher; Chad Williams; Runa Bhaumik (CEC/EEE, 2006)

Crawling Attacks Against Web-based Recommender Systems. - Runa Bhaumik; Robin D. Burke; Bamshad Mobasher (DMIN, 2007)

Attacks and Remedies in Collaborative Recommendation. - Bamshad Mobasher; Robin D. Burke; Runa Bhaumik; Jeff J. Sandvig (IEEE Intell. Syst., 2007)

Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. - Bamshad Mobasher; Robin D. Burke; Runa Bhaumik; Chad Williams (ACM Trans. Internet Techn., 2007)

An investigation into the relationship between semantic and content based similarity using LIDC. - Robert Kim; Grace Dasovich; Runa Bhaumik; Richard Brock; Jacob D. Furst; Daniela Stan Raicu (Multimedia Information Retrieval, 2010)

Predicting Autism Spectrum Disorder Using Domain-Adaptive Cross-Site Evaluation. - Runa Bhaumik; Ashish Pradhan; Soptik Das; Dulal K. Bhaumik (Neuroinformatics, 2018)

A Mixed-Effects Model for Detecting Disrupted Connectivities in Heterogeneous Data. - Dulal K. Bhaumik; Fei Jie; Rachel K. Nordgren; Runa Bhaumik; Bikas K. Sinha (IEEE Trans. Medical Imaging, 2018)

Using Random Effects Machine Learning Algorithms to Identify Vulnerability to Depression. - Runa Bhaumik; Jonathan Stange (CoRR, 2023)