3 citations · 5 across the 2 of their papers we have counts for
7 papers
SpikeDuet: CPU-Accelerator Co-Execution of Sparse SNNs on Commodity MCUs
Muhammad Fahd Ibrahim Bhatti, Muhammad Ali Siddiqi
Spiking neural networks (SNNs) expose sparse event activity, but commodity microcontrollers increasingly pair general-purpose processors with dense matrix-vector accelerators whose…
Zeppelin: Client-Side BFV Encryption and Decryption for Helium-Powered Microcontrollers
Muhammad Saif ul Islam, Karar Haider, Manaal Malik +2
The growth of the Internet of Things (IoT) has raised concerns over the privacy of data collected by resource-constrained sensing devices. Homomorphic encryption (HE) addresses thi…
Efficient and Implementation-Hardened RBLWE on Commodity Cortex-M Microcontrollers
Muhammad Asim Javaid, Muhammad Adeel Pasha, Muhammad Ali Siddiqi
Efficient post-quantum cryptography on resource-constrained Internet-of-Things (IoT) devices requires implementations that exploit the target processor architecture while resisting…
VQ-LIC: Shared Vector-Quantized Learned Image Compression on a Resource-Constrained FPGA
Muhammad Fahd Ibrahim Bhatti, Abdullah Bin Faisal, Ahsan Usman +2
Learned image compression (LIC) is hard to deploy on severely resource-constrained FPGAs, since how fast it actually runs depends not just on arithmetic count, but also on memory t…
A High-Throughput FPGA Architecture for Real-Time TCP-SYN Scan Detection
Faisal Saeed, Mohammad Fahad, Ayesha Javaid +2
TCP-SYN port scanning often precedes cyber-attacks, and early detection of scanner fingerprints embedded in packet headers can provide timely intrusion alerts. Existing approaches…
Memristor-Based Lightweight Encryption
Muhammad Ali Siddiqi, Jan Andrés Galvan Hernández, Anteneh Gebregiorgis +4
Next-generation personalized healthcare devices are undergoing extreme miniaturization in order to improve user acceptability. However, such developments make it difficult to incor…
A Lightweight Architecture for Real-Time Neuronal-Spike Classification
Muhammad Ali Siddiqi, David Vrijenhoek, Lennart P. L. Landsmeer +6
Electrophysiological recordings of neural activity in a mouse's brain are very popular among neuroscientists for understanding brain function. One particular area of interest is ac…