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

1. G. Apruzzese and V.S. Subrahmanian. Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors, to appear in IEEE Transactions on Dependable & Security Computing, accepted Sep 2022.

2. R.J. Fokkink, J.F. Brethouwer, K.T. Greene, R. Lindelauf, V.S. Subrahmanian, C. Tornquist. Rising tension in the Himalayas: a Geospatial Analysis of Chinese Border Incursions into India, accepted for publication in PloS One, 17(11), November 2022.

3. Y. Chen, D. Gartenstein-Ross, K. T. Greene, K. Kalif, S. Kraus, F. Parisi, C. Pulice, A. Subasic, and V.S. Subrahmanian. Linking Terrorist Network Structure to Lethality: Algorithms and Analysis, IEEE Transactions on Computational Social Systems. 2022 Aug 23

4. C. Bai, M. Bolonkin, V. Regunath and V.S. Subrahmanian. DIPS: A Dyadic Impression Prediction System for Group Interaction Videos, accepted for publication in ACM Transactions on Multimedia Computing Communications and Applications, April 2022. https://dl.acm.org/doi/pdf/10.1145/3532865

5.C. Bai, H. Chen, J. Leskovec, S. Kumar and V.S. Subrahmanian. M2P2: Multimodal Persuasion Prediction using Adaptive Fusion, accepted for publication in IEEE Transactions on Multimedia, November 2021. https://ieeexplore.ieee.org/abstract/document/9645309?casa_token=Ll2EbvR1s1QAAAAA:tkH5dnn1FxGPJzdaJQ7_7q4DKH_FlYcRRtsNQOpIdYXs_MzPMv3nA6MlS5nNFuG68pCIl0fW

6.H. Chen, A. Duncklee, S. Jajodia, R. Lui, S. McCormack, and V.S. Subrahmanian. PCAM: A Data-Driven Probabilistic Cyber-Alert Management Framework, ACM Transactions on Internet Technology (TOIT) 22, no. 3 (2022): 1-24. 2022. https://dl.acm.org/doi/pdf/10.1145/3511101

7. T. Deb, J, Dix, M. Jeong, C. Molinaro, A. Pugliese, A. Quattrini Li, E. Santos, V.S. Subrahmanian, S. Yang and Y. Zhang. DUCK: A Drone-Urban Cyber-Defense Framework based on Pareto-Optimal Deontic Logic Agents, accepted for publication at the 2023 Association for the Advancement AI Conference (AAAI 2023), demo paper.

8. C. Bai, M. Bolonkin, V. Regunath, and V.S. Subrahmanian. POLLY: A Multimodal Cross-Cultural Context-Sensitive Framework to Predict Political Lying from Videos, accepted for publication in: Proc. 24^th ACM International Conference on Multimodal Interaction, Bengaluru, Nov. 2022.

9. Y. Zhang, S. Chakrabarty, R. Liu, A. Pugliese, and V.S. Subrahmanian. A New Dynamically Changing Attack on Review Fraud Systems and a Dynamically Changing Ensemble Defense, Proc. 20th IEEE International Conference on Dependable, Autonomic & Secure Computing”. Sep 2022, Calabria, Italy. Recipient of the Best Paper Award.