Xiang Li

Orcid: 0009-0007-7467-6221

According to our database1, Xiang Li authored at least 9 papers between 2023 and 2025.

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Bibliography

2025
Where are We in Audio Deepfake Detection? A Systematic Analysis over Generative and Detection Models.
ACM Trans. Internet Techn., August, 2025

MUBox: A Critical Evaluation Framework of Deep Machine Unlearning.
CoRR, May, 2025

Measuring the Robustness of Audio Deepfake Detectors.
CoRR, March, 2025

MUBox: A Critical Evaluation Framework of Deep Machine Unlearning [Systematization of Knowledge Paper].
Proceedings of the 30th ACM Symposium on Access Control Models and Technologies, 2025

2024
SONAR: A Synthetic AI-Audio Detection Framework and Benchmark.
CoRR, 2024

Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.
CoRR, 2024

Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum.
Proceedings of the 5th IEEE International Conference on Trust, 2024

Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023
Invisible Watermarking for Audio Generation Diffusion Models.
Proceedings of the 5th IEEE International Conference on Trust, 2023


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