Calvin Hawkins

According to our database, Calvin Hawkins authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Differentially Private Data-Driven Markov Chain Modeling.

Alexander Benvenuti, Brandon Fallin, Calvin Hawkins, Brendan J. Bialy, Miriam E. Dennis, Warren E. Dixon, Matthew T. Hale

CoRR, February, 2026

Approximately Optimal Multi-Stream Quickest Change Detection for Gaussian Streams.

Joshua Kartzman, Calvin Hawkins, Matthew Hale

CoRR, January, 2026

Differentially private formation control: Privacy and network co-design.

Calvin Hawkins, Matthew Hale

Syst. Control. Lett., 2026

2025

Generating Differentially Private Networks with a Modified Erdős-Rényi Model.

Huaiyuan Rao, Calvin Hawkins, Alexander Benvenuti, Matthew T. Hale

CoRR, September, 2025

Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy.

Bo Chen, Baike She, Calvin Hawkins, Philip E. Paré, Matthew T. Hale

CoRR, January, 2025

2024

Node and Edge Differential Privacy for Graph Laplacian Spectra: Mechanisms and Scaling Laws.

Calvin Hawkins, Bo Chen, Kasra Yazdani, Matthew Hale

IEEE Trans. Netw. Sci. Eng., 2024

Differentially Private Reward Functions for Markov Decision Processes.

Alexander Benvenuti, Calvin Hawkins, Brandon Fallin, Bo Chen, Brendan J. Bialy, Miriam E. Dennis, Matthew Hale

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models.

Bo Chen, Baike She, Calvin Hawkins, Alexander Benvenuti, Brandon Fallin, Philip E. Paré, Matthew Hale

Proceedings of the American Control Conference, 2024

2023

Differentially Private Reward Functions for Multi-Agent Markov Decision Processes.

Alexander Benvenuti, Calvin Hawkins, Brandon Fallin, Bo Chen, Brendan J. Bialy, Miriam E. Dennis, Matthew T. Hale

CoRR, 2023

Differential Privacy in Cooperative Multiagent Planning.

Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew T. Hale, Ufuk Topcu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Differential Privacy for Stochastic Matrices Using the Matrix Dirichlet Mechanism.

Brandon Fallin, Calvin Hawkins, Bo Chen, Parham Gohari, Alexander Benvenuti, Ufuk Topcu, Matthew T. Hale

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021

Differential Privacy on the Unit Simplex via the Dirichlet Mechanism.

Parham Gohari, Bo Wu, Calvin Hawkins, Matthew T. Hale, Ufuk Topcu

IEEE Trans. Inf. Forensics Secur., 2021

Edge Differential Privacy for Algebraic Connectivity of Graphs.

Bo Chen, Calvin Hawkins, Kasra Yazdani, Matthew T. Hale

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Differentially Private Formation Control.

Calvin Hawkins, Matthew T. Hale

Proceedings of the 59th IEEE Conference on Decision and Control, 2020