* equal contribution authors; alphabetical authorship; otherwise, the order is based on contribution.
Papers
On the Dichotomy Between Privacy and Traceability in Stochastic Convex Optimization
S. Voitovych*, M. Haghifam* , I. Attias, G. K. Dziugaite, R. Livni, D. M. Roy
Under review, 2025
Private Geometric Median
M. Haghifam , T. Steinke, J. Ullman
Advances in Neural Information Processing Systems (NeurIPS), 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
I. Attias, G. K. Dziugaite, M. Haghifam , R. Livni, D. M. Roy
International Conference on Machine Learning (ICML), 2024 (Best Paper Award)
Faster Differentially Private Convex Optimization via Second-Order Methods
A. Ganesh, M. Haghifam , T. Steinke, A. Thakurta
Advances in Neural Information Processing Systems (NeurIPS) 2023
Why Is Public Pretraining Necessary for Private Model Training?
A. Ganesh, M. Haghifam , M. Nasr, S. Oh, T. Steinke, O. Thakkar, A. Thakurta, L. Wang
International Conference on Machine Learning (ICML), 2023
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
M. Haghifam* , B. Rodriguez-Galvez*, R. Thobaben, M. Skoglund, D. M. Roy, G. K. Dziugaite
International Conference on Algorithmic Learning Theory (ALT), 2023
Privacy-Preserving and Approximately Truthful Local Electricity Markets: A Differentially Private VCG Mechanism
M. Hoseinpour, M. Hoseinpour, M. Haghifam , M. R. Haghifam
IEEE Transactions on Smart Grid, 2023
Understanding Generalization via Leave-One-Out Conditional Mutual Information
M. Haghifam , S. Moran, D. M. Roy, G. K. Dziugaite
International Symposium on Information Theory (ISIT), 2022
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
M. Haghifam , J. Negrea, A. Khisti, D. M. Roy , G. K. Dziugaite,
Advances in Neural Information Processing Systems (NeurIPS), 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
J. Negrea*, M. Haghifam* , G. K. Dziugaite, A. Khisti, D. M. Roy
Advances in Neural Information Processing Systems (NeurIPS), 2019
Workshop Papers
Differential Privacy with MedMNIST
L. Zhang, S. Allin, M. Haghifam , M. Pawliuk, R. Engineer, F. Shkurti
15th Symposium on Educational Advances in Artificial Intelligence (teaching paper based on the design of course material on DP)
Sequential Classification with Empirically Observed Statistics
M. Haghifam , V. Y. F. Tan, and A. Khisti
IEEE Information Theory Workshop, 2019
Streaming Codes with Unequal Error Protection against Burst Losses
M. Haghifam , A. Badr, A. Khisti, X. Zhu, W. Dan and J. Apostolopoulos,
The 29th Biennial Symposium on Communications, 2018
On joint information and energy transfer in relay networks with an imperfect power amplifier
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M. Haghifam , B. Makki, M. Nasiri-Kenari, T. Svensson,
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016
State estimation in electric distribution networks in presence of distributed generation using the PMUs
M. Haghifam , M. R. Haghifam, B. Safari Chabook,
CIRED 2012
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