Evading System-Calls Based Intrusion Detection Systems. - Ishai Rosenberg; Ehud Gudes (NSS, 2016)

Attacking and Defending Dynamic Analysis System-Calls Based IDS. - Ishai Rosenberg; Ehud Gudes (WISTP, 2016)

DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks. - Ishai Rosenberg; Guillaume Sicard; Eli (Omid) David (ICANN (2), 2017)

Bypassing system calls-based intrusion detection systems. - Ishai Rosenberg; Ehud Gudes (Concurr. Comput. Pract. Exp., 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)

DeepOrigin: End-To-End Deep Learning For Detection Of New Malware Families. - Ilay Cordonsky; Ishai Rosenberg; Guillaume Sicard; Eli (Omid) David (IJCNN, 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 (RAID, 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)

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)

Defense Methods Against Adversarial Examples for Recurrent Neural Networks. - Ishai Rosenberg; Asaf Shabtai; Yuval Elovici; Lior Rokach (CoRR, 2019)

Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers. - Ishai Rosenberg; Asaf Shabtai; Yuval Elovici; Lior Rokach (ACSAC, 2020)

Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data. - Amiel Meiseles; Ishai Rosenberg; Yair Motro; Lior Rokach; Jacob Moran-Gilad (BIBM, 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 (IJCNN, 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)

Adversarial Learning in the Cyber Security Domain. - Ishai Rosenberg; Asaf Shabtai; Yuval Elovici; Lior Rokach (CoRR, 2020)

GLOD: Gaussian Likelihood Out of Distribution Detector. - Guy Amit; Moshe Levy; Ishai Rosenberg; Asaf Shabtai; Yuval Elovici (CoRR, 2020)

Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers. - Tzvika Shapira; David Berend; Ishai Rosenberg; Yang Liu 003; Asaf Shabtai; Yuval Elovici (CoRR, 2020)

FOOD: Fast Out-Of-Distribution Detector. - Guy Amit; Moshe Levy; Ishai Rosenberg; Asaf Shabtai; Yuval Elovici (IJCNN, 2021)

Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants. - Ishai Rosenberg; Asaf Shabtai; Yuval Elovici; Lior Rokach (IJCNN, 2021)

Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain. - Ishai Rosenberg; Asaf Shabtai; Yuval Elovici; Lior Rokach (ACM Comput. Surv., 2022)