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Ting Luo

2 accepted papers

2025

Optimized Dynamic Watermarking for Audio DNNs with Adaptive Embedding and Boundary Sampling

ICASSP 2025accepted

The intensified concerns arising from the widespread adoption of deep learning have led to increased scrutiny of intellectual property protection in DNN models. Existing audio watermarking techniques, predominantly based on traditional signal processing methods, struggle to balance robustness, imper…

Cited by 0SourceScholar
2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

NeurIPS 2022accept

There has been significant progress in developing reinforcement learning (RL) training systems. Past works such as IMPALA, Apex, Seed RL, Sample Factory, and others, aim to improve the system's overall throughput. In this paper, we aim to address a common bottleneck in the RL training system, i.e.,…