Componentwise Adversarial Attacks. - Lucas Beerens; Desmond J. Higham (ICANN (1), 2023)

Adversarial Ink: Componentwise Backward Error Attacks on Deep Learning. - Lucas Beerens; Desmond J. Higham (CoRR, 2023)

Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks. - Lucas Beerens; Desmond J. Higham (CoRR, 2023)

Deceptive Diffusion: Generating Synthetic Adversarial Examples. - Lucas Beerens; Catherine F. Higham; Desmond J. Higham (SSVM (1), 2025)

On the Vulnerability of Concept Erasure in Diffusion Models. - Lucas Beerens; Alex D. Richardson; Kaicheng Zhang; Dongdong Chen (CoRR, 2025)

Embedding Hidden Adversarial Capabilities in Pre-Trained Diffusion Models. - Lucas Beerens; Desmond J. Higham (CoRR, 2025)