1 citations · 3 across the 7 of their papers we have counts for
7 papers
Augmented Neural Fine-Tuning for Efficient Backdoor Purification
Nazmul Karim, Abdullah Al Arafat, Umar Khalid +2
Recent studies have revealed the vulnerability of deep neural networks (DNNs) to various backdoor attacks, where the behavior of DNNs can be compromised by utilizing certain types…
CSI-Based Data-driven Localization Frameworking using Small-scale Training Datasets in Single-site MIMO Systems
Katarina Vuckovic, Farzam Hejazi, Nazanin Rahnavard
This work presents a date-driven user localization framework for single-site massive Multiple-Input-Multiple-Output (MIMO) systems. The framework is trained on a geo-tagged Channel…
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
Nazmul Karim, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi +3
Unsupervised domain adaptation (UDA) approaches focus on adapting models trained on a labeled source domain to an unlabeled target domain. UDA methods have a strong assumption that…
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks
Mohsen Joneidi, Ismail Alkhouri, Nazanin Rahnavard
A new paradigm for large-scale spectrum occupancy learning based on long short-term memory (LSTM) recurrent neural networks is proposed. Studies have shown that spectrum usage is a…
Matrix Coherency Graph: A Tool for Improving Sparse Coding Performance
Mohsen Joneidi, Mahdi Barzegar Khalilsarai, Alireza Zaeemzadeh +1
Exact recovery of a sparse solution for an underdetermined system of linear equations implies full search among all possible subsets of the dictionary, which is computationally int…
Distributed Rateless Codes with UEP Property
Ali Talari, Nazanin Rahnavard
When multiple sources of data need to transmit their rateless coded symbols through a single relay to a common destination, a distributed rateless code instead of several separate…