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Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

ACM computing surveys, 2021-06, Vol.54 (5), p.1-36

2021

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End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware

Entropy (Basel, Switzerland), 2018-05, Vol.20 (5), p.390

2018

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Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers

Research in Attacks, Intrusions, and Defenses, p.490-510

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Bypassing system calls–based intrusion detection systems

Concurrency and computation, 2017-08, Vol.29 (16), p.n/a

2017

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DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2017, p.91-99

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Evading System-Calls Based Intrusion Detection Systems

Network and System Security, p.200-216

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Attacking and Defending Dynamic Analysis System-Calls Based IDS

Information Security Theory and Practice, p.103-119

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Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-10

2021

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Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability

2020 International Joint Conference on Neural Networks (IJCNN), 2020, p.1-10

2020

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FOOD: Fast Out-Of-Distribution Detector

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-8

2021

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Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, p.464-468

2020

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DeepOrigin: End-To-End Deep Learning For Detection Of New Malware Families

2018 International Joint Conference on Neural Networks (IJCNN), 2018, p.1-7

2018

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Tripartite symbiosis of plant-weevil-bacteria is a widespread phenomenon in the Negev Desert

Scientific reports, 2018-02, Vol.8 (1), p.2420-8, Article 2420

2018

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Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware

Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers

Bypassing system calls–based intrusion detection systems

DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks

Evading System-Calls Based Intrusion Detection Systems

Attacking and Defending Dynamic Analysis System-Calls Based IDS

Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants

Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability

FOOD: Fast Out-Of-Distribution Detector

Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data

DeepOrigin: End-To-End Deep Learning For Detection Of New Malware Families

Tripartite symbiosis of plant-weevil-bacteria is a widespread phenomenon in the Negev Desert

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