research
∙
09/05/2022
An Adaptive Black-box Defense against Trojan Attacks (TrojDef)
Trojan backdoor is a poisoning attack against Neural Network (NN) classi...
share
research
∙
09/07/2021
Smart Traffic Monitoring System using Computer Vision and Edge Computing
Traffic management systems capture tremendous video data and leverage ad...
research
∙
09/03/2021
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
In this work, we show how to jointly exploit adversarial perturbation an...
research
∙
07/11/2020
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples
Machine learning models, especially neural network (NN) classifiers, hav...
research
∙
02/22/2020
Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples
Adversarial examples have become one of the largest challenges that mach...
research
∙
02/14/2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Machine learning systems have received much attention recently for their...
research
∙
06/27/2019
Using Intuition from Empirical Properties to Simplify Adversarial Training Defense
Due to the surprisingly good representation power of complex distributio...
research
∙
04/17/2019
ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
Neural Network classifiers have been used successfully in a wide range o...
research
∙
04/04/2019
Clinically Accurate Chest X-Ray Report Generation
The automatic generation of radiology reports given medical radiographs ...
research
∙
03/06/2019
