Yanzhao Wu

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Georgia Institute of Technology

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Qi Zhang
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Lei Yu
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Stacey Truex
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Ka-Ho Chow
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Arun Iyengar
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Juhyun Bae
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RDMAbox : Optimizing RDMA for Memory Intensive Workloads

We present RDMAbox, a set of low level RDMA opti-mizations that provide ...
04/25/2021 ∙ by Juhyun Bae, et al. ∙ 0 ∙ share

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Promoting High Diversity Ensemble Learning with EnsembleBench

Ensemble learning is gaining renewed interests in recent years. This pap...
10/20/2020 ∙ by Yanzhao Wu, et al. ∙ 0 ∙ share

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Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads

Since very few contributions to the development of an unified memory orc...
08/03/2020 ∙ by Juhyun Bae, et al. ∙ 0 ∙ share

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Understanding Object Detection Through An Adversarial Lens

Deep neural networks based object detection models have revolutionized c...
07/11/2020 ∙ by Ka-Ho Chow, et al. ∙ 12 ∙ share

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A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

Federated learning (FL) is an emerging distributed machine learning fram...
04/22/2020 ∙ by Wenqi Wei, et al. ∙ 5 ∙ share

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TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems

The rapid growth of real-time huge data capturing has pushed the deep le...
04/09/2020 ∙ by Ka-Ho Chow, et al. ∙ 3 ∙ share

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Cross-Layer Strategic Ensemble Defense Against Adversarial Examples

Deep neural network (DNN) has demonstrated its success in multiple domai...
10/01/2019 ∙ by Wenqi Wei, et al. ∙ 9 ∙ share

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Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness

Ensemble learning is a methodology that integrates multiple DNN learners...
08/29/2019 ∙ by Ling Liu, et al. ∙ 0 ∙ share

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Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks

Deep neural networks (DNNs) have demonstrated impressive performance on ...
08/21/2019 ∙ by Ka-Ho Chow, et al. ∙ 0 ∙ share

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Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks

Learning Rate (LR) is an important hyper-parameter to tune for effective...
08/18/2019 ∙ by Yanzhao Wu, et al. ∙ 0 ∙ share

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A Comparative Measurement Study of Deep Learning as a Service Framework

Big data powered Deep Learning (DL) and its applications have blossomed ...
10/29/2018 ∙ by Yanzhao Wu, et al. ∙ 0 ∙ share

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