Alexander Benvenuti

According to our database, Alexander Benvenuti authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Differential Privacy for Symbolic Trajectories via the Permute-and-Flip Mechanism.

Alexander Benvenuti, Huaiyuan Rao, Matthew T. Hale

CoRR, March, 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

Differentially Private Linear Programming: Reduced Sub-Optimality and Guaranteed Constraint Satisfaction.

Alexander Benvenuti, Brendan J. Bialy, Miriam E. Dennis, Matthew Hale

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

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

CoRR, September, 2025

Deceptive Sequential Decision-Making via Regularized Policy Optimization.

Yerin Kim, Alexander Benvenuti, Bo Chen, Mustafa O. Karabag, Abhishek Ninad Kulkarni, Nathaniel D. Bastian, Ufuk Topcu, Matthew Hale

CoRR, January, 2025

2024

Guaranteed Feasibility in Differentially Private Linearly Constrained Convex Optimization.

Alexander Benvenuti, Brendan J. Bialy, Miriam E. Dennis, Matthew Hale

IEEE Control. Syst. Lett., 2024

Defining and Measuring Deception in Sequential Decision Systems: Application to Network Defense.

Yerin Kim, Alexander Benvenuti, Bo Chen, Mustafa O. Karabag, Abhishek Ninad Kulkarni, Nathaniel D. Bastian, Ufuk Topcu, Matthew Hale

Proceedings of the IEEE Military Communications Conference, 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 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

2022

Zone-Based Guidance Strategy with Integrated Target Selection for Swarm Engagements.

Alexander Benvenuti, Scott Nivison

Proceedings of the IEEE Conference on Control Technology and Applications, 2022