research
∙
05/20/2023
Comparative Analysis of Deep Learning Models for Brand Logo Classification in Real-World Scenarios
This report presents a comprehensive study on deep learning models for b...
share
research
∙
12/28/2022
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction
Affect understanding capability is essential for social robots to autono...
research
∙
08/08/2022
PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications
Deep Neural Networks (DNNs) have been shown to be susceptible to Trojan ...
research
∙
04/12/2022
AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection
This paper proposes AdaTest, a novel adaptive test pattern generation fr...
research
∙
04/08/2022
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks
With the surge of Machine Learning (ML), An emerging amount of intellige...
research
∙
02/21/2022
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection
The goal of federated learning (FL) is to train one global model by aggr...
research
∙
05/18/2021
Toward Designing Social Human-Robot Interactions for Deep Space Exploration
In planning for future human space exploration, it is important to consi...
research
∙
03/23/2021
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
Ethereum smart contracts are automated decentralized applications on the...
research
∙
02/03/2021
TAD: Trigger Approximation based Black-box Trojan Detection for AI
An emerging amount of intelligent applications have been developed with ...
research
∙
08/20/2020
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
Automatic speech-based affect recognition of individuals in dyadic conve...
research
∙
08/10/2020
Trustworthy AI Inference Systems: An Industry Research View
In this work, we provide an industry research view for approaching the d...
research
∙
06/28/2019
A Neural-based Program Decompiler
Reverse engineering of binary executables is a critical problem in the c...
research
∙
03/31/2019
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks
Deep Neural Networks have created a paradigm shift in our ability to com...
research
∙
11/08/2018
Performance Comparison of Contemporary DNN Watermarking Techniques
DNNs shall be considered as the intellectual property (IP) of the model ...
research
∙
04/10/2018
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
This paper proposes DeepMarks, a novel end-to-end framework for systemat...
research
∙
04/02/2018