User profiles for Runa Bhaumik
Runa BhaumikVerified email at uic.edu Cited by 1149 |
Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness
B Mobasher, R Burke, R Bhaumik… - ACM Transactions on …, 2007 - dl.acm.org
Publicly accessible adaptive systems such as collaborative recommender systems present
a security problem. Attackers, who cannot be readily distinguished from ordinary users, may …
a security problem. Attackers, who cannot be readily distinguished from ordinary users, may …
Redesigning community mental health services for urban children: Supporting schooling to promote mental health.
Objective: This study examined a school-and home-based mental health service model,
Links to Learning, focused on empirical predictors of learning as primary goals for services in …
Links to Learning, focused on empirical predictors of learning as primary goals for services in …
Innate immunity in the postmortem brain of depressed and suicide subjects: Role of Toll-like receptors
Abnormalities of Toll-like receptors (TLRs) have been implicated in the pathophysiology of
depression and suicide. Interactions of TLRs with pathogen-associated molecular patterns (…
depression and suicide. Interactions of TLRs with pathogen-associated molecular patterns (…
[HTML][HTML] Analysis of bacterial vaginosis, the vaginal microbiome, and sexually transmitted infections following the provision of menstrual cups in Kenyan schools …
Background Nonhygienic products for managing menstruation are reported to cause
reproductive tract infections. Menstrual cups are a potential solution. We assessed whether …
reproductive tract infections. Menstrual cups are a potential solution. We assessed whether …
[HTML][HTML] The microbiome composition of a man's penis predicts incident bacterial vaginosis in his female sex partner with high accuracy
…, W Agingu, F Otieno, R Bhaumik, D Bhaumik… - Frontiers in cellular …, 2020 - frontiersin.org
Background: We determined the predictive accuracy of penile bacteria for incident BV in
female sex partners. In this prospective cohort, we enrolled Kenyan men aged 18-35 and their …
female sex partners. In this prospective cohort, we enrolled Kenyan men aged 18-35 and their …
[PDF][PDF] A clustering approach to unsupervised attack detection in collaborative recommender systems
R Bhaumik, B Mobasher, R Burke - Proceedings of the International …, 2011 - Citeseer
Securing collaborative filtering systems from malicious attack has become an important
issue with increasing popularity of recommender Systems. Since recommender systems are …
issue with increasing popularity of recommender Systems. Since recommender systems are …
Classification features for attack detection in collaborative recommender systems
…, B Mobasher, C Williams, R Bhaumik - Proceedings of the 12th …, 2006 - dl.acm.org
Collaborative recommender systems are highly vulnerable to attack. Attackers can use
automated means to inject a large number of biased profiles into such a system, resulting in …
automated means to inject a large number of biased profiles into such a system, resulting in …
Toll-like receptors in the depressed and suicide brain
Abnormalities of the immune function in depression and suicide are based in part on the
observation of increased levels of proinflammatory cytokines in the serum and postmortem …
observation of increased levels of proinflammatory cytokines in the serum and postmortem …
Attacks and remedies in collaborative recommendation
B Mobasher, R Burke, R Bhaumik… - IEEE Intelligent …, 2007 - ieeexplore.ieee.org
Collaborative-filtering recommender systems are an electronic extension of everyday social
recommendation behavior: people share opinions and decide whether or not to act on the …
recommendation behavior: people share opinions and decide whether or not to act on the …
[PDF][PDF] Limited knowledge shilling attacks in collaborative filtering systems
R Burke, B Mobasher, R Bhaumik - Proceedings of 3rd international …, 2005 - academia.edu
Recent research in recommender systems has shown that collaborative filtering algorithms
are highly susceptible to attacks that insert biased profile data. Theoretical analyses and …
are highly susceptible to attacks that insert biased profile data. Theoretical analyses and …