Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness B Mobasher, R Burke, R Bhaumik, C Williams ACM Transactions on Internet Technology (TOIT) 7 (4), 23-es, 2007 | 580 | 2007 |
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 405* | 2006 |
Classification features for attack detection in collaborative recommender systems R Burke, B Mobasher, C Williams, R Bhaumik Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 301 | 2006 |
Defending recommender systems: detection of profile injection attacks CA Williams, B Mobasher, R Burke Service Oriented Computing and Applications 1 (3), 157-170, 2007 | 187 | 2007 |
An automated GPS-based prompted recall survey with learning algorithms J Auld, C Williams, A Mohammadian, P Nelson Transportation Letters 1 (1), 59-79, 2009 | 172 | 2009 |
Effective attack models for shilling item-based collaborative filtering systems B Mobasher, R Burke, R Bhaumik, C Williams Proceedings of the 2005 WebKDD Workshop, held in conjuction with ACM SIGKDD 2005, 2005 | 165 | 2005 |
Segment-based injection attacks against collaborative filtering recommender systems R Burke, B Mobasher, R Bhaumik, C Williams Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005 | 107 | 2005 |
Analysis and detection of segment-focused attacks against collaborative recommendation B Mobasher, R Burke, C Williams, R Bhaumik Advances in Web Mining and Web Usage Analysis: 7th International Workshop on …, 2006 | 94 | 2006 |
Securing collaborative filtering against malicious attacks through anomaly detection R Bhaumik, C Williams, B Mobasher, R Burke Proceedings of the 4th workshop on intelligent techniques for web …, 2006 | 91 | 2006 |
Detecting profile injection attacks in collaborative recommender systems R Burke, B Mobasher, C Williams, R Bhaumik The 8th IEEE International Conference on E-Commerce Technology and The 3rd …, 2006 | 83 | 2006 |
Detection of obfuscated attacks in collaborative recommender systems C Williams, B Mobasher, R Burke, J Sandvig, R Bhaumik Proceedings of the ECAI 6, 2006 | 68 | 2006 |
Urban travel route and activity choice survey: Internet-based prompted-recall activity travel survey using global positioning system data MZ Frignani, J Auld, A Mohammadian, C Williams, P Nelson Transportation research record 2183 (1), 19-28, 2010 | 55 | 2010 |
Detecting profile injection attacks in collaborative filtering: a classification-based approach CA Williams, B Mobasher, R Burke, R Bhaumik Advances in Web Mining and Web Usage Analysis: 8th International Workshop on …, 2007 | 49 | 2007 |
Profile injection attack detection for securing collaborative recommender systems C Williams, B Mobasher DePaul University CTI Technical Report, 1-47, 2006 | 42 | 2006 |
Raspberry Pi as a platform for the Internet of things projects: Experiences and lessons S Kurkovsky, C Williams Proceedings of the 2017 ACM Conference on Innovation and Technology in …, 2017 | 37 | 2017 |
The impact of attack profile classification on the robustness of collaborative recommendation C Williams, R Bhaumik, R Burke, B Mobasher Proceedings of the 2006 WebKDD Workshop, held at ACM SIGKDD Conference on …, 2006 | 24 | 2006 |
Teaching programming concepts to elementary students C Williams, E Alafghani, A Daley, K Gregory, M Rydzewski 2015 IEEE Frontiers in Education Conference (FIE), 1-9, 2015 | 15 | 2015 |
Collaborative recommendation vulnerability to focused bias injection attacks R Burke, B Mobasher, R Bhaumik, C Williams International Conference on Data Mining: Workshop on Privacy and Security …, 2005 | 12 | 2005 |
Results of the utracs internet-based prompted recall gps activity-travel survey for the Chicago region J Auld, MZ Frignani, C Williams, AK Mohammadian Lisbon, Portugal, July, 11-15, 2010 | 10 | 2010 |
A data mining approach to rapidly learning traveler activity patterns for mobile applications CA Williams University of Illinois at Chicago, 2010 | 9 | 2010 |