team

Ph.D. Students at KCL

• Jacopo Cortellazzi (2019–), Problem-space Adversarial Robustness in Malware Classification
• Zeliang “Mark” Kan (2019–), Addressing Concept Drift in Malware Classification
• Mohamed Abouhashem (2021–), Federated Learning Security
• Theo Hoifung Chow (2021–), Robustness of Machine Learning Explanations in Systems Security
• Shae McFadden (2023–), Security of Deep Reinforcement Learning
• Xin Fan Guo (2023–), Model-driven IoT Intrusion Detection
• Want to join?

Research Visitors

• Feng Wei (Oct 2023, 6 months), University at Buffalo, USA
• Hamid Bostani (Oct 2023, 6 months), Radboud University, Netherlands
• Marcello Maugeri (Oct 2023, 6 months), University of Catania, Italy
• Mario D’Onghia (May 2023, 6 months), Politecnico of Milan, Italy

Past Members

Ph.D. Alumni

• (Second Supervisor) Feargus Pendlebury (2017–2021), RHUL & UCL, UK

Undergraduate Students - Research Internships

• Jeevan Jutla (2023), King’s College London, UK
• Adil Farooq (2022), Georgia Tech, USA
• Zhuo Ying Jiang Li (2022), King’s College London, UK
• Harivallabha Rangarajan (2020–2021), BITS Pilani, Hyderabad Campus, India
• Federico Barbero (2018), King’s College London, UK
• Zakir Singh (2019–2021), King’s College London, UK
• Cliona Mulligan (2020), King’s College London, UK
• Piotr Kurek (2021), King’s College London, UK
• Emiliyana Tsanova (2021), King’s College London, UK
• Priya Pillaipakkam Madapusi (2021), King’s College London, UK

Research Visitors

• Malik Al-Essa (Mar 2023, 6 months), University of Bari, Italy
• Giuseppina Andresini (2021), University of Bari, Italy
• Dr. Daniel Arp (Sep 2022, 6 months), TU Berlin, Germany
• Ilias Tsingenopoulos (Jan 2023, 3 months), KU Leuven, Belgium
• Shae McFadden, King’s College London, UK