47 citations · 53 across the 3 of their papers we have counts for
6 papers
RAPPER: Ransomware Prevention via Performance Counters
Manaar Alam, Sayan Sinha, Sarani Bhattacharya +3
Ransomware can produce direct and controllable economic loss, which makes it one of the most prominent threats in cyber security. As per the latest statistics, more than half of ma…
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…
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance
Nimesh Shah, Manaar Alam, Durga Prasad Sahoo +2
Physically Unclonable Function (PUF) circuits are finding widespread use due to increasing adoption of IoT devices. However, the existing strong PUFs such as Arbiter PUFs (APUF) an…
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…
RAPPER: Ransomware Prevention via Performance Counters
Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay +1
Ransomware can produce direct and controllable economic loss, which makes it one of the most prominent threats in cyber security. As per the latest statistics, more than half of ma…