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Computer Science

D-Index
51
Citations
11352
World Ranking
5305
National Ranking
319

Overview

Emil Lupu is affiliated with Imperial College London in the United Kingdom and has contributed extensively to the field of computer science, focusing primarily on artificial intelligence and information security. Their research spans several subfields, including artificial intelligence, information systems, computer networks and communications, computer vision and pattern recognition, and signal processing.

The core areas of Emil Lupu's research include adversarial robustness in machine learning, information and cyber security, network security and intrusion detection, anomaly detection techniques and applications, advanced malware detection techniques, COVID-19 diagnosis using AI, and advanced neural network applications.

They have an active publication record with notable recent papers such as:

  • A Hybrid Threat Model for Smart Systems (2022) published in IEEE Transactions on Dependable and Secure Computing
  • Which Attacks Lead to Hazards? Combining Safety and Security Analysis for Cyber-Physical Systems (2023) published in IEEE Transactions on Dependable and Secure Computing
  • Redundancy Planning for Cost Efficient Resilience to Cyber Attacks (2022) published in IEEE Transactions on Dependable and Secure Computing
  • Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation (2020) published in arXiv (Cornell University)
  • Shadow-Catcher: Looking into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing (2021) published in Lecture Notes in Computer Science

Emil Lupu frequently collaborates with several researchers, including Luis Muñoz-González, Javier Carnerero-Cano, Kenneth T. Co, Zhongyuan Hau, and David Martínez-Rego. Their publication venues reflect a breadth of scholarly contributions across sources such as arXiv (Cornell University), IEEE Transactions on Dependable and Secure Computing, Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Neural Networks and Learning Systems, and Lecture Notes in Computer Science.

Their work contributes to advancing understanding in both theoretical and applied aspects of computing, with significant emphasis on the security and resilience of cyber-physical systems and machine learning models under adversarial conditions.

Best Publications

  • The Ponder Policy Specification Language

    Nicodemos Damianou;Naranker Dulay;Emil Lupu;Morris Sloman

  • Conflicts in policy-based distributed systems management

    E.C. Lupu;M. Sloman

  • Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

    Luis Muñoz-González;Battista Biggio;Ambra Demontis;Andrea Paudice

  • Ponder: A Language for Specifying Security and Management Policies for Distributed Systems

    N Damianou;N Dulay;EC Lupu;Sloman

  • Using event calculus to formalise policy specification and analysis

    A.K. Bandara;E.C. Lupu;A. Russo

  • Security and management policy specification

    M. Sloman;E. Lupu

  • A goal-based approach to policy refinement

    A.K. Bandara;E.C. Lupu;J. Moffett;A. Russo

  • A policy deployment model for the Ponder language

    N. Dulay;E. Lupu;M. Sloman;N. Damianou

  • Conflict analysis for management policies

    E. Lupu;M. Sloman

  • An Adaptive Policy-Based Framework for Network Services Management

    Leonidas Lymberopoulos;Emil Lupu;Morris Sloman

  • Policies for Distributed Systems and Networks

    Morris Sloman;Emil C. Lupu;Jorge Lobo

  • Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection

    Daniele Sgandurra;Luis Muñoz-González;Rabih Mohsen;Emil C. Lupu

  • Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging.

    Luis Muñoz-González;Kenneth T. Co;Emil C. Lupu

  • Towards A Role-Based Framework for DistributedSystems Management

    Emil C. Lupu;Morris Sloman

  • A Survey of Policy Specification Approaches

    Nicodemos Damianou;Arosha K Bandara;Morris Sloman;Emil C Lupu

  • Ponder2: A Policy System for Autonomous Pervasive Environments

    Kevin Twidle;Naranker Dulay;Emil Lupu;Morris Sloman

  • AMUSE: autonomic management of ubiquitous e-Health systems

    E. Lupu;N. Dulay;M. Sloman;J. Sventek

  • Indoor location estimation using multiple wireless technologies

    Dhruv Pandya;Ravi Jain;E. Lupu

  • Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection.

    Andrea Paudice;Luis Muñoz-González;András György;Emil C. Lupu

  • A policy based role object model

    E. Lupu;M. Sloman

  • Label Sanitization against Label Flipping Poisoning Attacks

    Andrea Paudice;Luis Muñoz-González;Emil C. Lupu

Frequent Co-Authors

Morris Sloman
Morris Sloman Imperial College London
Naranker Dulay
Naranker Dulay Imperial College London
Jorge Lobo
Jorge Lobo Pompeu Fabra University
George Pavlou
George Pavlou University College London
Wayne Luk
Wayne Luk Imperial College London
Elisa Bertino
Elisa Bertino Purdue University West Lafayette
Antonis C. Kakas
Antonis C. Kakas University of Cyprus
Yanmin Zhu
Yanmin Zhu Shanghai Jiao Tong University
Jeff Kramer
Jeff Kramer Imperial College London
Fabio Martinelli
Fabio Martinelli National Research Council (CNR)

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