Yantao Lu | DeepAI

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∙ 11/18/2021

RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation

3D object detection from LiDAR data for autonomous driving has been maki...

30 Yantao Lu, et al. ∙

∙ 06/23/2020

Hermes Attack: Steal DNN Models with Lossless Inference Accuracy

Deep Neural Networks (DNNs) models become one of the most valuable enter...

0 Yuankun Zhu, et al. ∙

∙ 03/06/2020

Towards Practical Lottery Ticket Hypothesis for Adversarial Training

Recent research has proposed the lottery ticket hypothesis, suggesting t...

2 Bai Li, et al. ∙

∙ 11/22/2019

Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

Neural networks are known to be vulnerable to carefully crafted adversar...

21 Yantao Lu, et al. ∙

∙ 05/28/2019

Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data

There has been significant amount of research work on human activity cla...

0 Yantao Lu, et al. ∙

∙ 05/27/2019

Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking

Recent work in adversarial machine learning started to focus on the visu...

0 Yunhan Jia, et al. ∙

∙ 05/08/2019

Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction

Neural networks are known to be vulnerable to carefully crafted adversar...

0 Yunhan Jia, et al. ∙

∙ 09/24/2018

Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm

The choice of parameters, and the design of the network architecture are...

0 Yantao Lu, et al. ∙

∙ 05/24/2018

Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks

The choice of parameters, and the design of the network architecture are...

0 Burak Kakillioglu, et al. ∙

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