Lucas Beerens

According to our database, Lucas Beerens authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Embedding Hidden Adversarial Capabilities in Pre-Trained Diffusion Models.

Lucas Beerens, Desmond J. Higham

CoRR, April, 2025

On the Vulnerability of Concept Erasure in Diffusion Models.

Lucas Beerens, Alex D. Richardson, Kaicheng Zhang, Dongdong Chen

CoRR, February, 2025

Deceptive Diffusion: Generating Synthetic Adversarial Examples.

Lucas Beerens, Catherine F. Higham, Desmond J. Higham

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

2023

Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks.

Lucas Beerens, Desmond J. Higham

CoRR, 2023

Adversarial Ink: Componentwise Backward Error Attacks on Deep Learning.

Lucas Beerens, Desmond J. Higham

CoRR, 2023

Componentwise Adversarial Attacks.

Lucas Beerens, Desmond J. Higham

Proceedings of the Artificial Neural Networks and Machine Learning, 2023