activity
20192021
most citedAutoIDS: Auto-encoder Based Method for Intrusion Detection System

35 citations · 56 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2021

ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations

Bahram Mohammadi, Mohammad Sabokrou

This paper presents a practical and simple yet efficient method to effectively deal with the catastrophic forgetting for Class Incremental Learning (CIL) tasks. CIL tends to learn…

cs.CV202121 cited

Image/Video Deep Anomaly Detection: A Survey

Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou

The considerable significance of Anomaly Detection (AD) problem has recently drawn the attention of many researchers. Consequently, the number of proposed methods in this research…

cs.CV2020

G2D: Generate to Detect Anomaly

Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki +3

In this paper, we propose a novel method for irregularity detection. Previous researches solve this problem as a One-Class Classification (OCC) task where they train a reference mo…

cs.LG201935 cited

AutoIDS: Auto-encoder Based Method for Intrusion Detection System

Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi +1

Intrusion Detection System (IDS) is one of the most effective solutions for providing primary security services. IDSs are generally working based on attack signatures or by detecti…

cs.LG2019

End-to-End Adversarial Learning for Intrusion Detection in Computer Networks

Bahram Mohammadi, Mohammad Sabokrou

This paper presents a simple yet efficient method for an anomaly-based Intrusion Detection System (IDS). In reality, IDSs can be defined as a one-class classification system, where…