Ishai Rosenberg

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 24

Top Topics

Intrusion Detection System

Automatic Analysis

Top Venues

Publications

Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain. ACM Comput. Surv. 54 (5) (2021)
Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici
FOOD: Fast Out-Of-Distribution Detector. IJCNN (2021)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants. IJCNN (2021)
Ishai Rosenberg, Shai Meir, Jonathan Berrebi, Ilay Gordon, Guillaume Sicard, Eli David
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability. CoRR (2020)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Adversarial Learning in the Cyber Security Domain. CoRR (2020)
Tzvika Shapira, David Berend, Ishai Rosenberg, Yang Liu, Asaf Shabtai, Yuval Elovici
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers. CoRR (2020)
Guy Amit, Ishai Rosenberg, Moshe Levy, Ron Bitton, Asaf Shabtai, Yuval Elovici
Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization. CoRR (2020)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers. ACSAC (2020)
Ishai Rosenberg, Shai Meir, Jonathan Berrebi, Ilay Gordon, Guillaume Sicard, Eli (Omid) David
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability. IJCNN (2020)
Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici
GLOD: Gaussian Likelihood Out of Distribution Detector. CoRR (2020)
Amiel Meiseles, Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran-Gilad
Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data. BIBM (2020)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Defense Methods Against Adversarial Examples for Recurrent Neural Networks. CoRR (2019)
Ishai Rosenberg, Guillaume Sicard, Eli David
End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware. CoRR (2019)
Ilay Cordonsky, Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David
DeepOrigin: End-To-End Deep Learning For Detection Of New Malware Families. IJCNN (2018)
Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David
End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware. Entropy 20 (5) (2018)
Ilay Cordonsky, Ishai Rosenberg, Guillaume Sicard, Eli David
DeepOrigin: End-to-End Deep Learning for Detection of New Malware Families. CoRR (2018)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. CoRR (2018)
Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. RAID (2018)
Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks. ICANN (2) (2017)
Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici
Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers. CoRR (2017)
Ishai Rosenberg, Guillaume Sicard, Eli David
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks. CoRR (2017)
Ishai Rosenberg, Ehud Gudes
Bypassing system calls-based intrusion detection systems. Concurr. Comput. Pract. Exp. 29 (16) (2017)
Ishai Rosenberg, Ehud Gudes
Attacking and Defending Dynamic Analysis System-Calls Based IDS. WISTP (2016)
Ishai Rosenberg, Ehud Gudes
Evading System-Calls Based Intrusion Detection Systems. NSS (2016)