Parham Gohari

Orcid: 0000-0002-8880-7436

According to our database1, Parham Gohari authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models.
Proc. Priv. Enhancing Technol., January, 2023

Formal Methods for Autonomous Systems.
Found. Trends Syst. Control., 2023

Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Differential Privacy for Stochastic Matrices Using the Matrix Dirichlet Mechanism.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning.
CoRR, 2022

Blending Controllers via Multi-Objective Bandits.
Proceedings of the American Control Conference, 2022

2021
Differential Privacy on the Unit Simplex via the Dirichlet Mechanism.
IEEE Trans. Inf. Forensics Secur., 2021

On The Vulnerability of Recurrent Neural Networks to Membership Inference Attacks.
CoRR, 2021

Privacy-Preserving Teacher-Student Deep Reinforcement Learning.
CoRR, 2021

2020
Privacy-Preserving Policy Synthesis in Markov Decision Processes.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

The Dirichlet Mechanism for Differential Privacy on the Unit Simplex.
Proceedings of the 2020 American Control Conference, 2020


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