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10/30/2020
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers
The performance of a machine learning-based malware classifier depends o...
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08/16/2020
GLOD: Gaussian Likelihood Out of Distribution Detector
Discriminative deep neural networks (DNNs) do well at classifying input ...
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02/06/2020
Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization
In many cases, neural network classifiers are likely to be exposed to in...
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11/30/2019
End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware
Malware allegedly developed by nation-states, also known as advanced per...
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01/28/2019
Defense Methods Against Adversarial Examples for Recurrent Neural Networks
Adversarial examples are known to mislead deep learning models to incorr...
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09/22/2018
DeepOrigin: End-to-End Deep Learning for Detection of New Malware Families
In this paper, we present a novel method of differentiating known from p...
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04/23/2018
Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
In this paper, we present a black-box attack against API call based mach...
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11/27/2017
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks
In recent years numerous advanced malware, aka advanced persistent threa...
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07/19/2017
