most citedImproved Static Hand Gesture Classification on Deep Convolutional Neural Networks using Novel Sterile Training Technique

49 citations · 95 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2023★ 16 cited

Unlocking Hardware Security Assurance: The Potential of LLMs

Xingyu Meng, Amisha Srivastava, Ayush Arunachalam +5

System-on-Chips (SoCs) form the crux of modern computing systems. SoCs enable high-level integration through the utilization of multiple Intellectual Property (IP) cores. However,…

cs.CR2023★ 1 cited

FuncTeller: How Well Does eFPGA Hide Functionality?

Zhaokun Han, Mohammed Shayan, Aneesh Dixit +3

Hardware intellectual property (IP) piracy is an emerging threat to the global supply chain. Correspondingly, various countermeasures aim to protect hardware IPs, such as logic loc…

cs.CV2023★ 27 cited

Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging

Christos Vasileiou, Josiah W. Smith, Shiva Thiagarajan +3

In this paper, we introduce an innovative super resolution approach to emerging modes of near-field synthetic aperture radar (SAR) imaging. Recent research extends convolutional ne…

cs.CV2023★ 49 cited

Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks using Novel Sterile Training Technique

Josiah Smith, Shiva Thiagarajan, Richard Willis +2

In this paper, we investigate novel data collection and training techniques towards improving classification accuracy of non-moving (static) hand gestures using a convolutional neu…

cs.LG2020

On Improving Hotspot Detection Through Synthetic Pattern-Based Database Enhancement

Gaurav Rajavendra Reddy, Constantinos Xanthopoulos, Yiorgos Makris

Continuous technology scaling and the introduction of advanced technology nodes in Integrated Circuit (IC) fabrication is constantly exposing new manufacturability issues. One such…

cs.LG2020★ 2 cited

Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks

Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy +3

Deep learning (DL) offers potential improvements throughout the CAD tool-flow, one promising application being lithographic hotspot detection. However, DL techniques have been show…