Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization

no code implementations • 20 Sep 2023 • Stefan Trawicki, William Hackett, Lewis Birch, Neeraj Suri, Peter Garraghan

Adversarial Machine Learning (AML) is a rapidly growing field of security research, with an often overlooked area being model attacks through side-channels.

Model Leeching: An Extraction Attack Targeting LLMs

no code implementations • 19 Sep 2023 • Lewis Birch, William Hackett, Stefan Trawicki, Neeraj Suri, Peter Garraghan

Model Leeching is a novel extraction attack targeting Large Language Models (LLMs), capable of distilling task-specific knowledge from a target LLM into a reduced parameter model.

Adversarial Attack