| Combating crowdsourced review manipulators: A neighborhood-based approach P Kaghazgaran, J Caverlee, A Squicciarini Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 56 | 2018 |
| Privacy issues in intrusion detection systems: A taxonomy, survey and future directions S Niksefat, P Kaghazgaran, B Sadeghiyan Computer Science Review: http://www.sciencedirect.com/science/art, 1-10, 2017 | 28 | 2017 |
| Behavioral analysis of review fraud: Linking malicious crowdsourcing to amazon and beyond P Kaghazgaran, J Caverlee, M Alfifi Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017 | 27 | 2017 |
| Measuring the impact of ISIS social media strategy M Alfifi, P Kaghazgaran, J Caverlee, F Morstatter MIS2. Marina Del Ray, California, 2018 | 26 | 2018 |
| Toward an Insider Threat Detection Framework Using Honey Permissions. P Kaghazgaran, H Takabi J. Internet Serv. Inf. Secur. 5 (3), 19-36, 2015 | 20 | 2015 |
| Crowdsourced app review manipulation S Li, J Caverlee, W Niu, P Kaghazgaran Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 17 | 2017 |
| Secure two party comparison over encrypted data P Kaghazgaran, B Sadeghyan 2011 World Congress on Information and Communication Technologies, 1123-1126, 2011 | 16 | 2011 |
| Wide-ranging review manipulation attacks: Model, empirical study, and countermeasures P Kaghazgaran, M Alfifi, J Caverlee Proceedings of the 28th ACM International Conference on Information and …, 2019 | 11 | 2019 |
| A large-scale study of ISIS social media strategy: Community size, collective influence, and behavioral impact M Alfifi, P Kaghazgaran, J Caverlee, F Morstatter Proceedings of the international AAAI conference on web and social media 13 …, 2019 | 11 | 2019 |
| Social factors in closed-network content consumption P Kaghazgaran, M Bos, L Neves, N Shah Proceedings of the 29th ACM International Conference on Information …, 2020 | 6 | 2020 |
| Tomcat: Target-oriented crowd review attacks and countermeasures P Kaghazgaran, M Alfifi, J Caverlee Proceedings of the International AAAI Conference on Web and Social Media 13 …, 2019 | 6 | 2019 |
| Adore: Aspect dependent online review labeling for review generation P Kaghazgaran, J Wang, R Huang, J Caverlee Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 3 | 2020 |
| Masquerade detection using gui events in windows systems P Kaghazgaran, B Sadeghyan | 3* | |
| Organizational Artifacts of Code Development P Kaghazgaran, N Lubold, F Morstatter arXiv preprint arXiv:2105.14637, 2021 | | 2021 |
| Crowd and AI Powered Manipulation: Characterization and Detection P Kaghazgaran Texas A&M University, 2020 | | 2020 |
| Contextual Relevance Matching for Ad-hoc Retrieval Based on Heterogeneous Graph Embeddings P Kaghazgaran | | 2020 |
| Communication-efficient private distance calculation based on oblivious transfer extensions P Kaghazgaran, H Takabi, FH Currin, A Soriano Computers & Security 83, 93-105, 2019 | | 2019 |
| Privacy-preserving Edit Distance on Genomic Data P Kaghazgaran, H Takabi https://arxiv.org/abs/1711.06234v2, 2017 | | 2017 |
| Poster: Differentially Private Decision Tree Learning from Distributed Data P Kaghazgaran, H Takabi S&P, 2015 | | 2015 |
| Wide-Ranging Review Manipulation Attacks P Kaghazgaran, M Alfifi, J Caverlee | | |
James CaverleeProfessor, Computer Science and Engineering, Texas A&M UniversityVerified email at cse.tamu.edu
