Faculty Directory
V.S. Subrahmanian

Walter P. Murphy Professor of Computer Science

Faculty Fellow at the Northwestern Buffett Institute for Global Affairs

Contact

2233 Tech Drive
Mudd Room 3013
Evanston, IL 60208-3109

Email V.S. Subrahmanian

Departments

Computer Science

Education

PhD in Computer Science, Syracuse University, Syracuse, NY

MS in Computer Science, Syracuse University, Syracuse, NY

MSc (Tech.) in Computer Science, Birla Institute of Technology and Science, Pilani, India


Research Interests

V.S. Subrahmanian focuses on the intersection of AI and security problems. He develops machine learning based models to analyze text/geospatial/relational/social network data, learn behavioral models from the data, forecast actions, and influence outcomes. His models have been used to forecast terror attacks and terror network evolution, to reduce poaching, to identify bad actors on social media, to forecast systemic banking crises, to maximize airline profits, to predict if apps are malware or not, and more.


Selected Publications

S. Kang, C. Molinaro, A. Pugliese, and V.S. Subrahmanian. Randomized Generation of Adversary-Aware Fake Knowledge Graphs to Combat Intellectual Property Theft, accepted for publication in Proc. AAAI 2021, Feb 2-9, 2021.


C. Bai, S. Kumar, J. Leskovec, and V.S. Subrahmanian. Deception Prediction in Dynamic Face-To-Face Interaction Networks, Proc. 2021 AAAI International Conference on the Web and Social Media, June 2021.


 R. Liu, K. Greene, R. Lu, M. Mandic, B. Valentino, S. Vosoughi, and V.S. Subrahmanian. Using Impression Data to Improve Models of Online Social Influence, Nature Scientific Reports (2021) 11:16613, August 2021. https://rdcu.be/ct8v2


 A. Abdibayev, D. Chen, H. Chen, D. Poluru, and V.S. Subrahmanian. Using Word Embeddings to Deter Intellectual Property Theft Through Automated Generation of Fake Documents, ACM Transactions on Management Information Systems, Article No.: 13, pp 1–22, Feb 2021.


 Liu, R. Liu, A. Pugliese, and V.S. Subrahmanian. STARS: Defending Against Sockpuppet-based Targeted Attacks on Reviewing System, ACM Transactions on Intelligent Systems and Technology, 11(5): 56:1-56:25 (2020).


Q. Han, V.S. Subrahmanian and Y. Xiong. Android Malware Detection via (Somewhat) Robust Irreversible Feature Transformations, IEEE Transactions on Information Forensics and Security, 15: 3511-3525 (2020).


T. Chakraborty, F. Pierazzi, and V.S. Subrahmanian. EC2: Ensemble Clustering and Classification for Predicting Android Malware Families, IEEE Transactions on Dependable and Secure Computing, 17(2): 262-277 (2020).


H. Chen, R. Lui, N. Park, and V.S. Subrahmanian. Using Twitter to Predict When Vulnerabilities will be Exploited, Proc. 2019 ACM Conference on Knowledge Discovery and Data Mining (KDD ’19), Anchorage, Alaska, Aug 2019.


H. Chen, S. Jajodia, J. Liu, N. Park, V. Sokolov, V.S. Subrahmanian. FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data, Proc. 2019 Intl. Joint Conference on Artificial Intelligence (IJCAI 2019), Aug 2019, Macao.