activity
20192023
most citedViTA: A Vision Transformer Inference Accelerator for Edge Applications

64 citations · 69 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2023★ 64 cited

ViTA: A Vision Transformer Inference Accelerator for Edge Applications

Shashank Nag, Gourav Datta, Souvik Kundu +2

Vision Transformer models, such as ViT, Swin Transformer, and Transformer-in-Transformer, have recently gained significant traction in computer vision tasks due to their ability to…

cs.CR2022★ 1 cited

Snoopy: A Webpage Fingerprinting Framework with Finite Query Model for Mass-Surveillance

Gargi Mitra, Prasanna Karthik Vairam, Sandip Saha +2

Internet users are vulnerable to privacy attacks despite the use of encryption. Webpage fingerprinting, an attack that analyzes encrypted traffic, can identify the webpages visited…

cs.NE2020

Probabilistic spike propagation for FPGA implementation of spiking neural networks

Abinand Nallathambi, Nitin Chandrachoodan

Evaluation of spiking neural networks requires fetching a large number of synaptic weights to update postsynaptic neurons. This limits parallelism and becomes a bottleneck for hard…

eess.SP2020★ 1 cited

Optimization of DSP Applications Using Parameterized Error Models for Low Power Approximate Adders

Celia Dharmaraj, Vinita Vasudevan, Nitin Chandrachoodan

Approximate circuit design has gained significance in recent years targeting error tolerant applications. In this paper, we first demonstrate that the commonly used assumption that…

cs.CR2019★ 3 cited

White Mirror: Leaking Sensitive Information from Interactive Netflix Movies using Encrypted Traffic Analysis

Gargi Mitra, Prasanna Karthik Vairam, Patanjali SLPSK +2

Privacy leaks from Netflix videos/movies is well researched. Current state-of-the-art works have been able to obtain coarse-grained information such as the genre and the title of v…