Naima Tasnim — accepted AI-conference papers

2025

GeoClip: Geometry-Aware Clipping for Differentially Private SGD

Atefeh Gilani, Naima Tasnim, Lalitha Sankar, Oliver Kosut

NeurIPS 2025poster

Differentially private stochastic gradient descent (DP-SGD) is the most widely used method for training machine learning models with provable privacy guarantees. A key challenge in DP-SGD is setting the per-sample gradient clipping threshold, which significantly affects the trade-off between privacy…

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2022

ALSNet: A Dilated 1-D CNN for Identifying ALS from Raw EMG Signal

K. M. Naimul Hassan, Md. Shamiul Alam Hridoy, Naima Tasnim, Atia Faria Chowdhury, Tanvir Alam Roni, Sheikh Tabrez +2

ICASSP 2022accepted

Amyotrophic Lateral Sclerosis (ALS) is one of the most common neuromuscular diseases which affects both lower and upper motor neurons. In this paper, a dilated one dimensional convolutional neural network, named ALSNet, is proposed for identifying ALS from raw EMG signal. No hand-crafted feature ext…

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