3 papers
cs.SD2026
Clustering Unsupervised Representations as Defense against Poisoning Attacks on Speech Commands Classification System
Thomas Thebaud, Sonal Joshi, Henry Li +4
Poisoning attacks entail attackers intentionally tampering with training data. In this paper, we consider a dirty-label poisoning attack scenario on a speech commands classificatio…
cs.SD2026
SURF: Separation via Unsupervised Remixing Flow
Henry Li, Robin Scheibler, Efthymios Tzinis +3
The goal of single-channel source separation is to reconstruct sources given their mixture. In supervised settings where vast amounts of clean source data are available, this c…
cs.SD2025
Source Separation by Flow Matching
Robin Scheibler, John R. Hershey, Arnaud Doucet +1
We consider the problem of single-channel audio source separation with the goal of reconstructing sources from their mixture. We address this ill-posed problem with FLOSS (FLOw…