19 citations · 23 across the 10 of their papers we have counts for
14 papers
Understanding Fault Tolerance of Adversarially Robust Pruned Models
Manali Dangarikar, Cory Merkel
Deep neural networks (DNNs) deployed on resource-constrained neuromorphic hardware face three concurrent challenges: the need for model compression through pruning, vulnerability t…
Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems
Cory Merkel
Recent animal studies have shown that biological brains can enter a low power mode in times of food scarcity. This paper explores the possibility of applying similar mechanisms to…
Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators
Hongye Xu, Dongfang Liu, Cory Merkel +1
Logic locking has been proposed to safeguard intellectual property (IP) during chip fabrication. Logic locking techniques protect hardware IP by making a subset of combinational mo…
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm
Sonia Lopez Alarcon, Cory Merkel, Martin Hoffnagle +2
Binary Neural Networks are a promising technique for implementing efficient deep models with reduced storage and computational requirements. The training of these is however, still…
Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information
Cory Merkel
Adversarial attacks on state-of-the-art machine learning models pose a significant threat to the safety and security of mission-critical autonomous systems. This paper considers th…
Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information
Tommy Li, Cory Merkel
Artificial neural networks (ANNs) have gained significant popularity in the last decade for solving narrow AI problems in domains such as healthcare, transportation, and defense. A…