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Chaitali Chakrabarti

Model Extraction Attacks on Split Federated Learning

Mar 13, 2023
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Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures

Nov 17, 2022
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An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data

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Aug 18, 2022
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ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

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May 09, 2022
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LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems

Nov 18, 2021
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Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration

Nov 16, 2021
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SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks

Aug 14, 2021
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Communication and Computation Reduction for Split Learning using Asynchronous Training

Jul 20, 2021
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Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks

Jul 06, 2021
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RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

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Mar 22, 2021
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