Patrick O'Reilly

According to our database, Patrick O'Reilly authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep Audio Watermarks are Shallow: Limitations of Post-Hoc Watermarking Techniques for Speech.

Patrick O'Reilly, Zeyu Jin, Jiaqi Su, Bryan Pardo

CoRR, April, 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, March, 2025

Code Drift: Towards Idempotent Neural Audio Codecs.

Patrick O'Reilly, Prem Seetharaman, Jiaqu Su, Zeyu Jin, Bryan Pardo

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Text2FX: Harnessing CLAP Embeddings for Text-Guided Audio Effects.

Annie Chu, Patrick O'Reilly, Julia Barnett, Bryan Pardo

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Code Drift: Towards Idempotent Neural Audio Codecs.

Patrick O'Reilly, Prem Seetharaman, Jiaqi Su, Zeyu Jin, Bryan Pardo

CoRR, 2024

Maskmark: Robust Neuralwatermarking for Real and Synthetic Speech.

Patrick O'Reilly, Zeyu Jin, Jiaqi Su, Bryan Pardo

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models.

Patrick O'Reilly, Andreas Bugler, Keshav Bhandari, Max Morrison, Bryan Pardo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effective and Inconspicuous Over-the-Air Adversarial Examples with Adaptive Filtering.

Patrick O'Reilly, Pranjal Awasthi, Aravindan Vijayaraghavan, Bryan Pardo

Proceedings of the IEEE International Conference on Acoustics, 2022

Source Separation By Steering Pretrained Music Models.

Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Unsupervised Source Separation By Steering Pretrained Music Models.

Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo

CoRR, 2021