Research Interests (see my papers for detail)

Physical Security
Trustworthy Machine Learning
Web Security

developing authentication protocols to track physical objects

Digital Fingerprinting of physical objects

Crytographic protocols to authenticate objects

Side Channel Privacy Leakages

Sensor-based privacy leakages

Medical IoT connection hijacking

Cryptographic protocols for ML governance

Verifiable Auditing for Fairness

Decentralised Black-box Auditing of ML models

Socio-Technical perception of trust and trustworthiness in ML systems

Trustworthy ML technologies

Trust perception in various ML-based usecases

Malicious Browser Extensions

Protections against malicious browser extensions

Man-in-the-Browser attacks

Web Tracking and Privacy Enhancing Technologies

Tracking in different platforms

Privacy leakages in web apps

Research Team

I am expanding my team for now so keep an eye on any upcoming hiring notifications.

Current members:

James Clarke (PhD candidate)

Alumni:

Patrick Wake (PhD candidate, Global Head of Information Security, FDM Group), co-supervised with Prof. Sue Black.
Amira Alrewetae (PhD candidate), co-supervised with Dr. Gaganjeet Aujla
Josh Harrison (Research Project, 2022) --> Software Development Engineer @ Amazon uk
Jack Reeves (Research Project, 2022) --> Digital Consultant @ Newton Europe
Jia Xiu Sai (Research Project, 2022) --> Graduate Software Engineer @ THG
Max Dormon (Research Project, 2022) --> Software Engineer @ JPMorgn Chase

Grants and Awards

Year	Name	Description
2022-Now	AGENCY: Assuring Citizen Agency in a World with Complex Online Harms	Co-I in EPSRC funded project (See project page)
2021-2023	Cyfer: Cyber security and Privacy in Fertility Technologies	Co-I in PETRAS funded project (See project page)\| Virtual Cyfer Art Exhibition
2019	StandICT grant	Grant to facilitate standardization impact in ICT (see output in W3C annual meeting in Fukoaka, Japan)
2017	Economist and Kaspersky cybersecurity award	Award on using Blockchain for e-voting. Our team was the only winner outside the USA in the top three finalists (among many international participations of esteemed universities such as UCL)

Research Impact

Year	Product	Project
2023	W3C	Acknowledged in the standardisation for pressure sensors
2019	Patent in the USA	Novel method for preventing counterfeiting of an object
2018	Mozilla Firefox	Mozilla Firefox deployed a fix on Firefox 46 (CVE-2016-2813) for sensor access model Vulnerabilities
2018	Apple iOS	Apple included a fix on Safari in IOS 9.3 (CVE-2016-1780) for sensor access model Vulnerabilities
2016	W3C	Specific Privacy and Security section added to the Motion/Orientation standard document
2014	Apple Safari	Vulnerabilities found in Private Browsing (bug report #14685058)

Media Appearances

Deep Learning Acoustic Side Channel Attack: (selected): ACM Communications, E&T, Keesing, Gizmodo
Polymer Banknote Fingerprinting: (selected): ACM Communications, E&T, Keesing, Gizmodo
Paper sheet Fingerprinting: (selected): the Economist and Wall Street Journal
Mobile Sensor Security: (selected): NU Press, BBC, Guardian, Telegraph, Independent, NYPost, Sun, The Australian, Economic Times, TechCrunch, Engadget, Popular Science, Science Friday (Americal National Radio), ars Technica, Reddit, xda-developers, CBC News, German Public Radio, Die Welt (German), Sina (Chinese), Masjable (French), Lavoz (Spanish).
blockchain-based e-voting system CoinDesk

Past affiliations

Assistant Professor (Lecturer) at Department of Computer Science, Durham University, (August 2020 2020 - January 2023)
Research Associate (Postdoctoral Researcher) at the Secure and Resilient Systems (SRS) Group of Newcastle University, Newcastle upon Tyne, UK, working with Prof. Aad van Moorsel (January 2019 - August 2020)
Research Associate (Postdoctoral Researcher) at the Secure and Resilient Systems (SRS) Group of Newcastle University, Newcastle upon Tyne, UK, working with Prof. Feng Hao (June 2018 - January 2019)
PhD at Newcastle University, Newcastle upon Tyne, UK, under supervision of Prof. Feng Hao, Thesis