research
∙
05/15/2022
Real-centric Consistency Learning for Deepfake Detection
Most of previous deepfake detection researches bent their efforts to des...
share
research
∙
05/02/2022
Understanding CNNs from excitations
For instance-level explanation, in order to reveal the relations between...
research
∙
09/20/2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
The deep learning approach to detecting malicious software (malware) is ...
research
∙
06/30/2020
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection
Malware remains a big threat to cyber security, calling for machine lear...
research
∙
05/24/2020
SoK: Arms Race in Adversarial Malware Detection
Malicious software (malware) is a major cyber threat that shall be tackl...
research
∙
04/15/2020
Enhancing Deep Neural Networks Against Adversarial Malware Examples
Machine learning based malware detection is known to be vulnerable to ad...
research
∙
01/26/2020
A Survey on Smartphones Security: Software Vulnerabilities, Malware, and Attacks
Nowadays, the usage of smartphones and their applications have become ra...
research
∙
11/01/2019
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data
An accurate road surface friction prediction algorithm can enable intell...
research
∙
12/19/2018
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge
Malware continues to be a major cyber threat, despite the tremendous eff...
research
∙
09/18/2018
