You can find a complete list of publications on my Google Scholar.
PhD in Computer Science at the University of Cambridge 2022-2026
- Watermark Mimicry in Large Language Models and Humans
David Khachaturov, Robert Mullins, Ilia Shumailov, Sumanth Dathathri - Scaling Laws for Data Poisoning in LLMs
Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine
Links: The 1st Workshop on Data Contamination (CONDA) - QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning
Micha V Nowak, Tim P Bott, David Khachaturov, Frank Puppe, Adrian Krenzer, Amar Hekalo
Links: arXiv - Human-Producible Adversarial Examples
David Khachaturov, Yue Gao, Ilia Shumailov, Robert Mullins, Ross Anderson, Kassem Fawaz
Links: arXiv
MSc in Advanced Computer Science at the University of Oxford 2021 - 2022
- Portable, Low-Cost, and Low-Power mmWave Radar Imaging for Concealed Weapon Detection
MSc Dissertation, supervised by Professor Kasper Rasmussen; IP patented and registered with Oxford University Innovation Limited
Links: pdf
BA (Hons) in Computer Science at the University of Cambridge 2018 - 2021
- Susceptibility of Hierarchical Reinforcement Learning to Adversarial Examples
Computer Science Tripos Part II Dissertation, supervised by Ilia Shumailov and Dmitry Kazhdan
Links: pdf - Markpainting: Adversarial Machine Learning meets Inpainting
David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson
Links: arXiv
Proceedings of the 38th International Conference on Machine Learning (Acceptance rate ~21.5%)