Projects per year
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Collaborations and top research areas from the last five years
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Collaborative Research: SaTC: CORE: Medium: Towards Secure Federated Learning
Mittal, P. (PI)
NSF - National Science Foundation
10/1/22 → 9/30/26
Project: Research project
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YIP: Developing a Science for Statistical ORAMs
Mittal, P. (PI)
7/13/18 → 9/5/21
Project: Research project
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Synergistic Integration of Statistical and Logic-Based Reasoning for Adversarial Learning Mechanisms
Mittal, P. (PI)
7/1/18 → 6/30/21
Project: Research project
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SaTC: CORE: Medium: Collaborative: A Linguistically-Informed Approach for Measuring and Circumventing Internet Censorship
Mittal, P. (PI)
NSF - National Science Foundation
8/15/17 → 7/31/21
Project: Research project
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CIF: Small: Collaborative Research: Analytics on Edge-labled Hypergraphs: Limits to De-anonymization
Mittal, P. (PI)
NSF - National Science Foundation
7/1/16 → 6/30/19
Project: Research project
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Neural Network Design for Impedance Modeling of Power Electronic Systems Based on Latent Features
Liao, Y., Li, Y., Chen, M., Nordstrom, L., Wang, X., Mittal, P. & Poor, H. V., May 1 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 5, p. 5968-5980 13 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
Visual Adversarial Examples Jailbreak Aligned Large Language Models
Qi, X., Huang, K., Panda, A., Henderson, P., Wang, M. & Mittal, P., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 19, p. 21527-21536 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access5 Scopus citations -
A Light Recipe to Train Robust Vision Transformers
Debenedetti, E., Sehwag, V. & Mittal, P., 2023, Proceedings - 2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023. Institute of Electrical and Electronics Engineers Inc., p. 225-253 29 p. (Proceedings - 2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access7 Scopus citations -
A Randomized Approach to Tight Privacy Accounting
Wang, J. T., Mahloujifar, S., Wu, T., Jia, R. & Mittal, P., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
Brown, J., Jiang, X., Tran, V., Bhagoji, A. N., Hoang, N. P., Feamster, N., Mittal, P. & Yegneswaran, V., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3750-3761 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access2 Scopus citations