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cs.SD2022
SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing
Deng JiaCheng, Dong Li, Yan Diqun +2
Deep neural networks are vulnerable to adversarial examples that mislead models with imperceptible perturbations. In audio, although adversarial examples have achieved incredible a…
cs.SD2022★ 1 cited
Transferability of Adversarial Attacks on Synthetic Speech Detection
Jiacheng Deng, Shunyi Chen, Li Dong +2
Synthetic speech detection is one of the most important research problems in audio security. Meanwhile, deep neural networks are vulnerable to adversarial attacks. Therefore, we es…