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Martin Gonzalez

2 accepted papers

2025

Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion Models

ICASSP 2025accepted

Automatic speech recognition (ASR) systems are known to be vulnerable to adversarial attacks. This paper addresses detection and defence against targeted white-box attacks on speech signals for ASR systems. While existing work has utilised diffusion models (DMs) to purify adversarial examples, achie…

Cited by 0SourceScholar
2023

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models

NeurIPS 2023poster

A potent class of generative models known as Diffusion Probabilistic Models (DPMs) has become prominent. A forward diffusion process adds gradually noise to data, while a model learns to gradually denoise. Sampling from pre-trained DPMs is obtained by solving differential equations (DE) defined by t…