Rajagopal Venkatesaramani
Assistant Teaching Professor
Education
- PhD in Computer Science, Washington University in St. Louis
- MS in Computer Science, Washington University in St. Louis
- BTech in Computer Science, Shiv Nadar University — India
Biography
Rajagopal Venkatesaramani is an assistant teaching professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston.
Venkat is particularly interested in privacy as it relates to genomic data, especially as the collection, sharing, and linkage of such data becomes more prevalent. As such, he uses large-scale optimization, adversarial machine learning techniques, and game-theoretic frameworks to enable privacy–utility trade-offs when sharing genomic data. He also has an interest in natural language processing and graph theory. Venkat has published work with Science Advances, ACM TOPS, and Genome Research, and has presented at RECOMB and at the Joint Conference on Lexical and Computational Semantics.
Venkat joined Khoury College in 2023, drawn in by the college’s commitment to CS for everyone. He has a research interest in computer science education and is excited to explore innovations in course design while introducing students to state-of-the-art tools and technologies. He is also interested in exploring natural language processing and generative AI research projects through ethical and theoretical lenses.
When he’s not working, Venkat pursues his love for Indian classical music; he has over 20 years of training in Carnatic vocals and has taught himself several instruments, including the bansuri, an Indian bamboo flute. He enjoys literature and poetry from the late 1800s and early 1900s, and plays badminton in the evenings.
Recent publications
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Bayes-Nash Generative Privacy Protection Against Membership Inference Attacks
Citation: Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik. (2024). Bayes-Nash Generative Privacy Protection Against Membership Inference Attacks CoRR, abs/2410.07414. https://doi.org/10.48550/arXiv.2410.07414 -
CribNet: Enhancing Infant Safety in Cribs Through Vision-Based Hazard Detection
Citation: Shaotong Zhu, Amal Mathew, Elaheh Hatamimajoumerd, Michael Wan, Briana Taylor, Rajagopal Venkatesaramani, Sarah Ostadabbas. (2024). CribNet: Enhancing Infant Safety in Cribs Through Vision-Based Hazard Detection FG, 1-8. https://doi.org/10.1109/FG59268.2024.10581871 -
A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics
Citation: Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik. (2024). A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics CoRR, abs/2406.01811. https://doi.org/10.48550/arXiv.2406.01811 -
Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics
Citation: Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik. (2023). Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics CoRR, abs/2302.01763. https://doi.org/10.48550/arXiv.2302.01763 -
Defending Against Membership Inference Attacks on Beacon Services
Citation: Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik. (2023). Defending Against Membership Inference Attacks on Beacon Services ACM Trans. Priv. Secur., 26, 42:1-42:32. https://doi.org/10.1145/3603627 -
Re-identification of Individuals in Genomic Datasets Using Public Face Images
Citation: Rajagopal Venkatesaramani, Bradley A. Malin, Yevgeniy Vorobeychik. (2021). Re-identification of Individuals in Genomic Datasets Using Public Face Images CoRR, abs/2102.08557. https://arxiv.org/abs/2102.08557