Unsupervised Source Separation By Steering Pretrained Music Models. - Ethan Manilow; Patrick O'Reilly; Prem Seetharaman; Bryan Pardo (CoRR, 2021)

Source Separation By Steering Pretrained Music Models. - Ethan Manilow; Patrick O'Reilly; Prem Seetharaman; Bryan Pardo (ICASSP, 2022)

Effective and Inconspicuous Over-the-Air Adversarial Examples with Adaptive Filtering. - Patrick O'Reilly; Pranjal Awasthi; Aravindan Vijayaraghavan; Bryan Pardo (ICASSP, 2022)

VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models. - Patrick O'Reilly; Andreas Bugler; Keshav Bhandari; Max Morrison; Bryan Pardo (NeurIPS, 2022)

Maskmark: Robust Neuralwatermarking for Real and Synthetic Speech. - Patrick O'Reilly; Zeyu Jin; Jiaqi Su; Bryan Pardo (ICASSP, 2024)

Code Drift: Towards Idempotent Neural Audio Codecs. - Patrick O'Reilly; Prem Seetharaman; Jiaqi Su; Zeyu Jin; Bryan Pardo (CoRR, 2024)

Text2FX: Harnessing CLAP Embeddings for Text-Guided Audio Effects. - Annie Chu; Patrick O'Reilly; Julia Barnett; Bryan Pardo (ICASSP, 2025)

Code Drift: Towards Idempotent Neural Audio Codecs. - Patrick O'Reilly; Prem Seetharaman; Jiaqu Su; Zeyu Jin; Bryan Pardo (ICASSP, 2025)

HARP 2.0: Expanding Hosted, Asynchronous, Remote Processing for Deep Learning in the DAW. - Christodoulos Benetatos; Frank Cwitkowitz; Nathan Pruyne; Hugo Flores García; Patrick O'Reilly; Zhiyao Duan; Bryan Pardo (CoRR, 2025)

Deep Audio Watermarks are Shallow: Limitations of Post-Hoc Watermarking Techniques for Speech. - Patrick O'Reilly; Zeyu Jin; Jiaqi Su; Bryan Pardo (CoRR, 2025)