Distributed proportional stochastic coordinate descent with social sampling. - Mohsen Ghassemi; Anand D. Sarwate (Allerton, 2015)

Differentially Private Online Active Learning with Applications to Anomaly Detection. - Mohsen Ghassemi; Anand D. Sarwate; Rebecca N. Wright (AISec@CCS, 2016)

STARK: Structured dictionary learning through rank-one tensor recovery. - Mohsen Ghassemi; Zahra Shakeri; Anand D. Sarwate; Waheed U. Bajwa (CAMSAP, 2017)

Global Optimality in Inductive Matrix Completion. - Mohsen Ghassemi; Anand D. Sarwate; Naveen Goela (ICASSP, 2018)

Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. - Mohsen Ghassemi; Zahra Shakeri; Waheed U. Bajwa; Anand D. Sarwate (ISIT, 2019)

Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems. - Zahra Shakeri; Batoul Taki; André L. F. de Almeida; Mohsen Ghassemi; Waheed U. Bajwa (SPAWC, 2019)

Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning. - Daniel M. Bittner; Alejandro E. Brito; Mohsen Ghassemi; Shantanu Rane; Anand D. Sarwate; Rebecca N. Wright (J. Priv. Confidentiality, 2020)

Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. - Mohsen Ghassemi; Zahra Shakeri; Anand D. Sarwate; Waheed U. Bajwa (IEEE Trans. Signal Process., 2020)

A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. - Batoul Taki; Mohsen Ghassemi; Anand D. Sarwate; Waheed U. Bajwa (ACSCC, 2021)

Online Learning for Mixture of Multivariate Hawkes Processes. - Mohsen Ghassemi; Niccolò Dalmasso; Simran Lamba; Vamsi K. Potluru; Tucker Balch; Sameena Shah; Manuela Veloso (ICAIF, 2022)

Differentially Private Learning of Hawkes Processes. - Mohsen Ghassemi; Eleonora Kreacic; Niccolò Dalmasso; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (CoRR, 2022)

Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. - Renbo Zhao; Niccolò Dalmasso; Mohsen Ghassemi; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (CoRR, 2022)

Efficient Event Series Data Modeling via First-Order Constrained Optimization. - Niccolò Dalmasso; Renbo Zhao; Mohsen Ghassemi; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (ICAIF, 2023)

Synthetic Data Applications in Finance. - Vamsi K. Potluru; Daniel Borrajo; Andrea Coletta; Niccolò Dalmasso; Yousef El-Laham; Elizabeth Fons; Mohsen Ghassemi; Sriram Gopalakrishnan; Vikesh Gosai; Eleonora Kreacic; Ganapathy Mani; Saheed Obitayo; et al. (CoRR, 2024)

Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing. - Shuaiqi Wang; Rongzhe Wei; Mohsen Ghassemi; Eleonora Kreacic; Vamsi K. Potluru (CoRR, 2024)

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. - Rongzhe Wei; Mufei Li; Mohsen Ghassemi; Eleonora Kreacic; Yifan Li; Xiang Yue; Bo Li; Vamsi K. Potluru; Pan Li 005; Eli Chien (CoRR, 2024)

Auditing and Enforcing Conditional Fairness via Optimal Transport. - Mohsen Ghassemi; Alan Mishler; Niccolò Dalmasso; Luhao Zhang; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (AAAI, 2025)

Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. - Aras Selvi; Eleonora Kreacic; Mohsen Ghassemi; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (UAI, 2025)

Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness. - Rongzhe Wei; Peizhi Niu; Hans Hao-Hsun Hsu; Ruihan Wu; Haoteng Yin; Mohsen Ghassemi; Yifan Li; Vamsi K. Potluru; Eli Chien; Kamalika Chaudhuri; Olgica Milenkovic; Pan Li 005 (CoRR, 2025)