research
∙
04/25/2022
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings
Generative models such as the variational autoencoder (VAE) and the gene...
share
research
∙
02/03/2022
VindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT
Personalized IoT adapts their behavior based on contextual information, ...
research
∙
11/18/2019
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations
Deep neural networks have achieved state-of-the-art performance on vario...
research
∙
08/05/2019
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning
Deep Neural Networks (DNNs) deliver state-of-the-art performance in many...
research
∙
06/30/2019
Deep Residual Neural Networks for Audio Spoofing Detection
The state-of-art models for speech synthesis and voice conversion are ca...
research
∙
09/29/2018
CAAD 2018: Generating Transferable Adversarial Examples
Deep neural networks (DNNs) are vulnerable to adversarial examples, pert...
research
∙
05/28/2018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Deep neural networks (DNNs) are vulnerable to adversarial examples, even...
research
∙
04/21/2018
Generating Natural Language Adversarial Examples
Deep neural networks (DNNs) are vulnerable to adversarial examples, pert...
research
∙
01/02/2018
Did you hear that? Adversarial Examples Against Automatic Speech Recognition
Speech is a common and effective way of communication between humans, an...
research
∙
01/31/2017