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08/19/2022
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks
DNN-based video object detection (VOD) powers autonomous driving and vid...
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10/27/2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Adversarial patch attacks that craft the pixels in a confined region of ...
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09/26/2020
Rubik: A Hierarchical Architecture for Efficient Graph Learning
Graph convolutional network (GCN) emerges as a promising direction to le...
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02/18/2020
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration
The research interest in specialized hardware accelerators for deep neur...
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02/03/2020
DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
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11/01/2019
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
Recent emerged quantization technique (i.e., using low bit-width fixed-p...
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05/28/2019
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks
Convolutional Neural Network (CNN) based Deep Learning (DL) has achieved...
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10/23/2017
