Showing 1–20 of 265 results
/ Date/ Name
Dec 15, 2018Systimator: A Design Space Exploration Methodology for Systolic Array based CNNs Acceleration on the FPGA-based Edge NodesNov 2, 2018TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural NetworksOct 16, 2018A Roadmap Towards Resilient Internet of Things for Cyber-Physical SystemsNov 19, 2018Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar ProcessorsJul 31, 2022enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural NetworksMar 12, 2023DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer BalancingMay 21, 2023Reduce: A Framework for Reducing the Overheads of Fault-Aware RetrainingMar 29, 2023Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNsMar 8, 2023Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based SystemsDec 20, 2022ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth BeaconsMar 14, 2023ISLE: A Framework for Image Level Semantic Segmentation EnsembleApr 4, 2024A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive DataJul 20, 2023Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation TechniquesMay 6, 2025Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural NetworksDec 10, 2025Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated SurrogatesApr 3, 2024QFNN-FFD: Quantum Federated Neural Network for Financial Fraud DetectionOct 11, 2024Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging ApplicationsJun 29, 2023Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version)Feb 24, 2023UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural NetworksDec 9, 2020Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters