47 citations · 54 across the 7 of their papers we have counts for
4 papers · 1 filter
DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems
Hithem Lamri, Manaar Alam, Haiyan Jiang +1
Federated Unlearning (FU) enables clients to remove the influence of specific data from a collaboratively trained shared global model, addressing regulatory requirements such as GD…
Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications
Manaar Alam, Arnab Bag, Debapriya Basu Roy +4
Neural Networks (NN) have recently emerged as backbone of several sensitive applications like automobile, medical image, security, etc. NNs inherently offer Partial Fault Tolerance…
How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?
Manaar Alam, Debdeep Mukhopadhyay
Deep Learning algorithms have recently become the de-facto paradigm for various prediction problems, which include many privacy-preserving applications like online medical image an…
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty, Manaar Alam, Vishal Dey +2
Deep learning has emerged as a strong and efficient framework that can be applied to a broad spectrum of complex learning problems which were difficult to solve using the tradition…