Ehsan Nowroozi

Senior Lecturer (Associate Professor)

Ravensbourne University London

United Kingdom

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About

Ehsan Nowroozi is a Senior Lecturer (Associate Professor) at Ravensbourne University London, UK. His research areas include adversarial machine learning, security in computer networks, and privacy in cloud computing. He has authored several articles addressing topics such as adversarial attacks, federated learning, and the validation of synthetic face images.

Articles (13)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2020

Collaborators (5)

Selcuk Uluagac

Florida International University

UNITED STATES

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Rahim Taheri

University of Portsmouth

UNITED KINGDOM

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Yassine Mekdad

Florida International University

UNITED STATES

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Mauro Conti

Delft University of Technology

NETHERLANDS

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Mauro Barni

University of Siena

ITALY

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Ehsan Nowroozi

Research Interests

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About

Articles (13)

A Random Deep Feature Selection Approach to Mitigate Transferable Adversarial Attacks

A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond

Federated Learning Under Attack: Exposing Vulnerabilities Through Data Poisoning Attacks in Computer Networks

Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization

SPRITZ-PS: validation of synthetic face images using a large dataset of printed documents

Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees

Real or virtual: a video conferencing background manipulation-detection system

An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework

Employing Deep Ensemble Learning for Improving the Security of Computer Networks Against Adversarial Attacks

Demystifying the Transferability of Adversarial Attacks in Computer Networks

VIPPrint: Validating Synthetic Image Detection and Source Linking Methods on a Large Scale Dataset of Printed Documents

A survey of machine learning techniques in adversarial image forensics

Improving the security of image manipulation detection through one-and-a-half-class multiple classification

Collaborators (5)

Selcuk Uluagac

Rahim Taheri

Yassine Mekdad

Mauro Conti

Mauro Barni

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