Privacy-preserving Object Detection. - Peiyang He; Charlie Griffin; Krzysztof Kacprzyk; Artjom Joosen; Michael Collyer; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

Lexicographic Multi-Objective Reinforcement Learning. - Joar Skalse; Lewis Hammond; Charlie Griffin; Alessandro Abate (IJCAI, 2022)

Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features. - Diogo Cruz; Edoardo Pona; Alex Holness-Tofts; Elias Schmied; Víctor Abia Alonso; Charlie Griffin; Bogdan-Ionut Cirstea (CoRR, 2023)

Goodhart's Law in Reinforcement Learning. - Jacek Karwowski; Oliver Hayman; Xingjian Bai; Klaus Kiendlhofer; Charlie Griffin; Joar Max Viktor Skalse (ICLR, 2024)

On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning. - Rohan Subramani; Marcus Williams; Max Heitmann; Halfdan Holm; Charlie Griffin; Joar Max Viktor Skalse (ICLR, 2024)

Games for AI Control: Models of Safety Evaluations of AI Deployment Protocols. - Charlie Griffin; Louis Thomson; Buck Shlegeris; Alessandro Abate (CoRR, 2024)

Subversion Strategy Eval: Evaluating AI's stateless strategic capabilities against control protocols. - Alex Mallen; Charlie Griffin; Alessandro Abate; Buck Shlegeris (CoRR, 2024)