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02/22/2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Machine Learning (ML) techniques facilitate automating malicious softwar...
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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 ...
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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...
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05/24/2020
SoK: Arms Race in Adversarial Malware Detection
Malicious software (malware) is a major cyber threat that shall be tackl...
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04/15/2020
Enhancing Deep Neural Networks Against Adversarial Malware Examples
Machine learning based malware detection is known to be vulnerable to ad...
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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...
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09/18/2018
