MARS is a transfer-based black-box attack that uses bi-level optimization on semantic and artifact anchors to escape the linearity trap and improve attack success rates on SSL-SVDD by up to 36%.
Adversarial attacks on audio deepfake detection: A benchmark and compara- tive study,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A gated fusion of XLSR-53 and CORES features with energy margin and diversity losses reaches 97.6% ID accuracy and reduces FPR95 by 83.5% relative to the Interspeech 2025 baseline on MLAAD.
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Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing
A gated fusion of XLSR-53 and CORES features with energy margin and diversity losses reaches 97.6% ID accuracy and reduces FPR95 by 83.5% relative to the Interspeech 2025 baseline on MLAAD.