AI
Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.
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Mimicking anti-viruses with machine learning and entropy profiles mdpi.com
(2019-05-21)
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Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE… linkinghub.elsevier.com
(May 2021)
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API-MalDetect: Automated malware detection framework for windows based on API calls and deep learning techniques linkinghub.elsevier.com
(September 2023) :star:
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A novel framework for image-based malware detection with a deep neural network linkinghub.elsevier.com
(October 2021) :star:
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Auditing static machine learning anti-Malware tools against metamorphic attacks linkinghub.elsevier.com
(March 2021) :star:
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Evading anti-malware engines with deep reinforcement learning ieeexplore.ieee.org
(March 2019) :star:
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A survey on machine learning-based detection and classification technology of malware ieeexplore.ieee.org
(September 2021) :star:
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Experimental comparison of machine learning models in malware packing detection ieeexplore.ieee.org
(September 2020) :star:
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Classifying packed malware represented as control flow graphs using deep graph convolutional neural network ieeexplore.ieee.org
(March 2020) :star:
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Feature selection for malware detection based on reinforcement learning ieeexplore.ieee.org
(December 2019)
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Adversarial malware binaries: Evading deep learning for malware detection in executables ieeexplore.ieee.org
(September 2018) :star:
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ByteWise: A case study in neural network obfuscation identification ieeexplore.ieee.org
(January 2018)
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Pefeats github.com
Utility for extracting 119 features from a PE file for use with machine learning algorithms.
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Machine learning en.wikipedia.org
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Automatic analysis of malware behavior using machine learning dl.acm.org
(December 2011)
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Pitfalls in machine learning for computer security dl.acm.org
(October 2024)
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(November 2023) :star:
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(November 2023) :star:
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(September 2021) :star:
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Enhancing machine learning based malware detection model by reinforcement learning dl.acm.org
(November 2018)
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Metadata recovery from obfuscated programs using machine learning dl.acm.org
(December 2016)
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Building a smart and automated tool for packed malware detections using machine learning dial.uclouvain.be
(June 2020)
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Unsupervised clustering machine learning on packed executable dial.uclouvain.be
(June 2022) :star:
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Evading machine learning malware detection blackhat.com
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Practical attacks on machine learning: A case study on adversarial windows malware arxiv.org
(September 2022) :star:
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MAB-Malware: A reinforcement learning framework for attacking static malware classifiers arxiv.org
(April 2021) :star:
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EMBER: An open dataset for training static PE malware machine learning models arxiv.org
(April 2018) :star: :star:
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Deceiving end-to-end deep learning malware detectors using adversarial examples arxiv.org
(January 2019) :star:
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Learning to evade static PE machine learning malware models via reinforcement learning arxiv.org
(January 2018) :star:
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Intriguing properties of neural networks arxiv.org
(February 2014)
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Malware detection through opcode sequence analysis using machine learning api.semanticscholar.org
(June 2015)
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Large Language Model guided Protocol Fuzzing, 2024 ndss-symposium.org
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IvySyn gitlab.com
A fully-automated framework for discovering memory error vulnerabilities in Deep Learning (DL) frameworks.
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