Mohsen Ghassemi

According to our database, Mohsen Ghassemi authored at least 19 papers between 2015 and 2025.

Collaborative distances:

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

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

CoRR, June, 2025

Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls.

Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Auditing and Enforcing Conditional Fairness via Optimal Transport.

Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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, Eli Chien

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

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, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch

CoRR, 2024

2023

Efficient Event Series Data Modeling via First-Order Constrained Optimization.

Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

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

Differentially Private Learning of Hawkes Processes.

Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

CoRR, 2022

Online Learning for Mixture of Multivariate Hawkes Processes.

Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression.

Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

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

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

2019

Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems.

Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning.

Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Global Optimality in Inductive Matrix Completion.

Mohsen Ghassemi, Anand D. Sarwate, Naveen Goela

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

STARK: Structured dictionary learning through rank-one tensor recovery.

Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Differentially Private Online Active Learning with Applications to Anomaly Detection.

Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016

2015

Distributed proportional stochastic coordinate descent with social sampling.

Mohsen Ghassemi, Anand D. Sarwate

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015