research
∙
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...
share
research
∙
06/23/2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy
Deep Neural Networks (DNNs) models become one of the most valuable enter...
research
∙
03/06/2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Recent research has proposed the lottery ticket hypothesis, suggesting t...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
05/08/2019
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction
Neural networks are known to be vulnerable to carefully crafted adversar...
research
∙
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...
research
∙
05/24/2018