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09/20/2023
AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition
Automatic Speech Recognition systems have been shown to be vulnerable to...
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05/30/2023
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function
Deep neural networks have been proven to be highly effective tools in va...
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12/28/2022
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions
The higher speed, scalability and parallelism offered by ReRAM crossbar ...
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08/11/2022
Mixed-Precision Neural Networks: A Survey
Mixed-precision Deep Neural Networks achieve the energy efficiency and t...
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05/31/2022
DNA Pattern Matching Acceleration with Analog Resistive CAM
DNA pattern matching is essential for many widely used bioinformatics ap...
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05/14/2022
BackLink: Supervised Local Training with Backward Links
Empowered by the backpropagation (BP) algorithm, deep neural networks ha...
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04/12/2022
DT2CAM: A Decision Tree to Content Addressable Memory Framework
Decision trees are considered one of the most powerful tools for data cl...
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03/04/2022
Efficient Analog CAM Design
Content Addressable Memories (CAMs) are considered a key-enabler for in-...
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03/01/2022
In-memory Associative Processors: Tutorial, Potential, and Challenges
In-memory computing is an emerging computing paradigm that overcomes the...
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12/13/2021
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Directly training spiking neural networks (SNNs) has remained challengin...
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10/21/2021
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering
Reverse engineering (RE) in Integrated Circuits (IC) is a process in whi...
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10/18/2021
In-memory Multi-valued Associative Processor
In-memory associative processor architectures are offered as a great can...
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09/10/2021
Efficient Noise Mitigation Technique for Quantum Computing
Quantum computers have enabled solving problems beyond the current compu...
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09/08/2021
Resistive Neural Hardware Accelerators
Deep Neural Networks (DNNs), as a subset of Machine Learning (ML) techni...
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11/21/2020
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
Recent breakthroughs in neuromorphic computing show that local forms of ...
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01/03/2020
Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems
In this letter, we propose a modified version of Fast Independent Compon...
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04/18/2019
Non-Stationary Polar Codes for Resistive Memories
Resistive memories are considered a promising memory technology enabling...
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03/04/2019