6 papers
Cryptographic Backdoor for Neural Networks: Boon and Bane
Anh Tu Ngo, Anupam Chattopadhyay, Subhamoy Maitra
In this paper we show that cryptographic backdoors in a neural network (NN) can be highly effective in two directions, namely mounting the attacks as well as in presenting the defe…
Adaptive Variation-Resilient Random Number Generator for Embedded Encryption
Furqan Zahoor, Ibrahim A. Albulushi, Saleh Bunaiyan +3
With a growing interest in securing user data within the internet-of-things (IoT), embedded encryption has become of paramount importance, requiring light-weight high-quality Rando…
Tensor Manipulation Unit (TMU): Reconfigurable, Near-Memory Tensor Manipulation for High-Throughput AI SoC
Weiyu Zhou, Zheng Wang, Chao Chen +4
While recent advances in AI SoC design have focused heavily on accelerating tensor computation, the equally critical task of tensor manipulation, centered on high,volume data movem…
Optimal T depth quantum circuits for implementing arbitrary Boolean functions
Suman Dutta, Anik Basu Bhaumik, Anupam Chattopadhyay +1
In this paper we present a generic construction to obtain an optimal T depth quantum circuit for any arbitrary -input -output Boolean function $f: \{0,1\}^n \rightarrow \{0,1…
Linear Decomposition of the Majority Boolean Function using the Ones on Smaller Variables
Anupam Chattopadhyay, Debjyoti Bhattacharjee, Subhamoy Maitra
A long-investigated problem in circuit complexity theory is to decompose an -input or -variable Majority Boolean function (call it ) using -input ones (), $k < n…
Realizing Quantum Adversarial Defense on a Trapped-ion Quantum Processor
Alex Jin, Tarun Dutta, Anh Tu Ngo +2
Classification is a fundamental task in machine learning, typically performed using classical models. Quantum machine learning (QML), however, offers distinct advantages, such as e…