Ishai Rosenberg

According to our database, Ishai Rosenberg authored at least 20 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach

ACM Comput. Surv., 2022

2021

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

Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach

Proceedings of the International Joint Conference on Neural Networks, 2021

FOOD: Fast Out-Of-Distribution Detector.

Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers.

Tzvika Shapira, David Berend, Ishai Rosenberg, Yang Liu, Asaf Shabtai, Yuval Elovici

CoRR, 2020

GLOD: Gaussian Likelihood Out of Distribution Detector.

Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici

CoRR, 2020

Adversarial Learning in the Cyber Security Domain.

Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach

CoRR, 2020

Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization.

Guy Amit, Ishai Rosenberg, Moshe Levy, Ron Bitton, Asaf Shabtai, Yuval Elovici

CoRR, 2020

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

Ishai Rosenberg, Shai Meir, Jonathan Berrebi, Ilay Gordon, Guillaume Sicard, Eli (Omid) David

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Amiel Meiseles, Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran-Gilad

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers.

Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

Defense Methods Against Adversarial Examples for Recurrent Neural Networks.

Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach

CoRR, 2019

2018

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

Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David

Entropy, 2018

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

Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach

CoRR, 2018

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

Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2018

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

Ilay Cordonsky, Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers.

Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici

CoRR, 2017

Bypassing system calls-based intrusion detection systems.

Ishai Rosenberg, Ehud Gudes

Concurr. Comput. Pract. Exp., 2017

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

Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Attacking and Defending Dynamic Analysis System-Calls Based IDS.

Ishai Rosenberg, Ehud Gudes

Proceedings of the Information Security Theory and Practice, 2016

Evading System-Calls Based Intrusion Detection Systems.

Ishai Rosenberg, Ehud Gudes

Proceedings of the Network and System Security - 10th International Conference, 2016