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%.
Sonics: Synthetic or not– identifying counterfeit songs
3 Pith papers cite this work. Polarity classification is still indexing.
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Audio Flamingo 3 introduces an open large audio-language model achieving new state-of-the-art results on over 20 audio understanding and reasoning benchmarks using a unified encoder and curriculum training on open data.
The authors provide the first systematic benchmark of traditional ML, DNN, Transformer, state-space, and multimodal models for machine-generated music detection, augmented with XAI analysis, and report ResNet18 as the strongest performer on in-domain and out-of-domain tests.
citing papers explorer
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Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection
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%.
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Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
Audio Flamingo 3 introduces an open large audio-language model achieving new state-of-the-art results on over 20 audio understanding and reasoning benchmarks using a unified encoder and curriculum training on open data.
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Explainable Detection of Machine Generated Music and Early Systematic Evaluation
The authors provide the first systematic benchmark of traditional ML, DNN, Transformer, state-space, and multimodal models for machine-generated music detection, augmented with XAI analysis, and report ResNet18 as the strongest performer on in-domain and out-of-domain tests.