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04/01/2023
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection
We propose and release a new vulnerable source code dataset. We curate t...
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02/08/2023
Continuous Learning for Android Malware Detection
Machine learning methods can detect Android malware with very high accur...
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05/24/2021
Learning Security Classifiers with Verified Global Robustness Properties
Recent works have proposed methods to train classifiers with local robus...
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11/04/2020
A Survey on Contact Tracing: the Latest Advancements and Challenges
Infectious diseases are caused by pathogenic microorganisms, such as bac...
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12/03/2019
Training Robust Tree Ensembles for Security
Tree ensemble models including random forests and gradient boosted decis...
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07/08/2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
Dynamic taint analysis (DTA) is widely used by various applications to t...
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06/05/2019
Enhancing Gradient-based Attacks with Symbolic Intervals
Recent breakthroughs in defenses against adversarial examples, like adve...
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04/06/2019
On Training Robust PDF Malware Classifiers
Although state-of-the-art PDF malware classifiers can be trained with al...
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11/06/2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks
Making neural networks robust against adversarial inputs has resulted in...
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11/06/2018
