activity
20192026
most citedEmploying Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks

3 citations · 11 across the 16 of their papers we have counts for

collaborators

16 papers

cs.AI2026

LAAF: A Layered Accountability Architecture Framework for LLM Applications

Prachi Chaturvedi, Shahnawaz Ahmad, Ehsan Nowroozi +5

Large Language Models (LLMs) operate in hospitals, courtrooms, banks, and public service desks, where fluent, confident outputs are treated as authoritative even when ungrounded or…

cs.AI2026

Toward Safe LLM Agents: A Survey of Specification, Verification, and Enforcement

Pierre Dantas, Lucas Cordeiro, Ehsan Nowroozi +2

Large Language Model (LLM) agents take irreversible real-world actions, yet no system gives formally grounded, task-level safety guarantees for their plans. We examined this gap in…

cs.CR2024

Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees

Ehsan Nowroozi, Nada Jadalla, Samaneh Ghelichkhani +1

Malicious URLs provide adversarial opportunities across various industries, including transportation, healthcare, energy, and banking which could be detrimental to business operati…

cs.CR2024

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

Ehsan Nowroozi, Imran Haider, Rahim Taheri +1

Federated Learning (FL) is a machine learning (ML) approach that enables multiple decentralized devices or edge servers to collaboratively train a shared model without exchanging r…

cs.CR2023

Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks

Ehsan Nowroozi, Samaneh Ghelichkhani, Imran Haider +1

Convolutional neural networks (CNNs) models play a vital role in achieving state-of-the-art performances in various technological fields. CNNs are not limited to Natural Language P…

cs.CV2023

Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of Printed Documents

Ehsan Nowroozi, Yoosef Habibi, Mauro Conti

The capability of doing effective forensic analysis on printed and scanned (PS) images is essential in many applications. PS documents may be used to conceal the artifacts of image…