Chad Williams
Chad Williams
Assistant Professor of Computer Science, Central Connecticut State University
Bestätigte E-Mail-Adresse bei ccsu.edu
Titel
Zitiert von
Zitiert von
Jahr
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
5012007
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
2502006
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
180*2006
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
1582009
Effective attack models for shilling item-based collaborative filtering systems
B Mobasher, R Burke, R Bhaumik, C Williams
Proceedings of the WebKDD Workshop, 13-23, 2005
1542005
Defending recommender systems: detection of profile injection attacks
CA Williams, B Mobasher, R Burke
Service Oriented Computing and Applications 1 (3), 157-170, 2007
1502007
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
932005
Analysis and detection of segment-focused attacks against collaborative recommendation
B Mobasher, R Burke, C Williams, R Bhaumik
International Workshop on Knowledge Discovery on the Web, 96-118, 2005
882005
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
792006
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
662006
Detection of obfuscated attacks in collaborative recommender systems
C Williams, B Mobasher, R Burke, J Sandvig, R Bhaumik
Proceedings of the ECAI’06 Workshop on Recommender Systems 94, 2006
552006
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
532010
Detecting profile injection attacks in collaborative filtering: a classification-based approach
CA Williams, B Mobasher, R Burke, R Bhaumik
International Workshop on Knowledge Discovery on the Web, 167-186, 2006
412006
Profile injection attack detection for securing collaborative recommender systems
C Williams, B Mobasher
DePaul University CTI Technical Report, 1-47, 2006
372006
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
212006
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
202017
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
122015
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
92010
Mining sequential association rules for traveler context prediction
CA Williams, A Mohammadian, PC Nelson, ST Doherty
Proceedings of the 5th Annual International Conference on Mobile and …, 2008
92008
Mining sequential association rules for traveler context prediction
CA Williams, A Mohammadian, PC Nelson, ST Doherty
Proceedings of the 5th Annual International Conference on Mobile and …, 2008
92008
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