EDUCATION
PhD in Computer Science, University of Cambridge
- Supervised by Professor Robert Mullins and Professor Ross Anderson
- Supported by the Harding Distinguished Postgraduate Scholars Programme
2022-2026
MSc in Advanced Computer Science, University of Oxford
- Grade: Distinction
- Dissertation: "Portable, Low-Cost, and Low-Power mmWave Radar Imaging for Concealed Weapon Detection" supervised by Professor Kasper Rasmussen; IP patented and registered with Oxford University Innovation Limited
- Courses: Bayesian Statistical Probabilistic Programming, Law and Computer Science, Quantum Processes and Computation, Advanced Security, Advanced Topics in Machine Learning, Ethical Computing in Practice, Database Systems Implementation
2021-2022
BA (Hons) in Computer Science, University of Cambridge
- Grade: Class I (ranking 8/120)
- Dissertation: "Susceptibility of Hierarchical Reinforcement Learning to Adversarial Examples" supervised by Dr Ilia Shumailov and Dmitry Kazhdan
- Courses: Bioinformatics, Business Studies, Information Theory, Principles of Communications, Data Science: principles and practice, Computer Vision, Cryptography, Mobile and Sensor Systems, Quantum Computing, Deep Neural Networks
2018-2021
A-levels, St Paul’s School, Barnes
- A*A*A*A* – Mathematics, Further Mathematics, Computer Science, Physics
2016-2018
SELECTED PUBLICATIONS
Watermark Mimicry in Large Language Models and Humans
David Khachaturov, Robert Mullins, Ilia Shumailov, Sumanth Dathathri
David Khachaturov, Robert Mullins, Ilia Shumailov, Sumanth Dathathri
In-review
Human-Producible Adversarial Examples
David Khachaturov, Yue Gao, Ilia Shumailov, Robert Mullins, Ross Anderson, Kassem Fawaz
David Khachaturov, Yue Gao, Ilia Shumailov, Robert Mullins, Ross Anderson, Kassem Fawaz
Pre-print
Markpainting: Adversarial Machine Learning meets Inpainting
David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson
David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson
ICML 2021
WORK EXPERIENCE
Computer Science Tripos Supervisor, University of Cambridge
- Taught courses: Machine Learning and Real-world Data; Software and Security Engineering; Data Science; Economics, Law and Ethics; Security; Bioinformatics
- 80+ groups, 250+ hours. Further details on my department page
October 2021 - present
June 2021 - present
Research Intern at Computer Laboratory, University of Cambridge
- Supervised by Professor Ross Anderson and Dr Ilia Shumailov
June – September 2021
Intern at Seamless Capital
December 2020
Research Intern at Computer Laboratory, University of Cambridge
- Supervised by Professor Ross Anderson and Dr Ilia Shumailov
June – September 2021
Software Development Intern at IMC Trading
- Introduction to option trading and pricing
- Data Services team; working with Kotlin, Elasticsearch, Kubernetes. Low-level networking in Java; JavaScript, React.JS, TypeScript
- Using Gerrit, Jira, Git, TeamCity
June – August 2020
Machine Learning Intern at Speechmatics
- Research and development of machine learning for NLP in Pytorch and Tensorflow
June – September 2019
RELEVANT EXPERIENCE
Programming Languages
- C, C++, C#, Python, Java, Lua
- JavaScript, SML, Prolog, Kotlin, GLSL, SystemVerilog
- Advanced game development experience with LÖVE in Lua
- Windows kernel, userspace drivers in C#, C, C++
- WebAssembly using emscripten
- 5+ years
- 1-3 years
- 5+ years
- 5+ years
- 3 years
AWARDS & INTERESTS
- Languages: native-level Russian and English
- Co-founded the Cambridge University Shooting and Conservation Association in 2024 as the first university society in the UK dedicated to conservation
- Was part of re-invigorating the Cambridge Caledonian Society in 2023-25, including conducting history research and creating the new website
- CyberCenturion, national UK cyber-security competition - 2018 runner-ups, 2017 winners
- BAFTA’s Young Game Designer 2017 finalists
- Schools Aerospace Challenge 2017 runner-ups
- Golf: Since 2013, National Maltese Junior Champion 2016