The Dirichlet Mechanism for Differential Privacy on the Unit Simplex. - Parham Gohari; Bo Wu 005; Matthew T. Hale; Ufuk Topcu (ACC, 2020)

Privacy-Preserving Policy Synthesis in Markov Decision Processes. - Parham Gohari; Matthew T. Hale; Ufuk Topcu (CDC, 2020)

Privacy-Preserving Teacher-Student Deep Reinforcement Learning. - Parham Gohari; Bo Chen; Bo Wu 005; Matthew T. Hale; Ufuk Topcu (CoRR, 2021)

On The Vulnerability of Recurrent Neural Networks to Membership Inference Attacks. - Yunhao Yang; Parham Gohari; Ufuk Topcu (CoRR, 2021)

Differential Privacy on the Unit Simplex via the Dirichlet Mechanism. - Parham Gohari; Bo Wu 005; Calvin Hawkins; Matthew T. Hale; Ufuk Topcu (IEEE Trans. Inf. Forensics Secur., 2021)

Blending Controllers via Multi-Objective Bandits. - Parham Gohari; Franck Djeumou; Abraham P. Vinod; Ufuk Topcu (ACC, 2022)

Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning. - Yunhao Yang; Parham Gohari; Ufuk Topcu (CoRR, 2022)

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 (CDC, 2023)

Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning. - Parham Gohari; Matthew T. Hale; Ufuk Topcu (CDC, 2023)

Formal Methods for Autonomous Systems. - Tichakorn Wongpiromsarn; Mahsa Ghasemi; Murat Cubuktepe; Georgios Bakirtzis; Steven Carr 002; Mustafa O. Karabag; Cyrus Neary; Parham Gohari; Ufuk Topcu (Found. Trends Syst. Control., 2023)

On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models. - Yunhao Yang; Parham Gohari; Ufuk Topcu (Proc. Priv. Enhancing Technol., 2023)