Pmeta-TLA combines a frame-level timbre leakage trigger with meta-learning and PCGrad to inject multiple backdoors into speech models in one training run, claiming better attack success, stealth, and lower cost than baselines.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
DRL-CLBA applies DDPG reinforcement learning and deep audio steganography to create sample-specific clean-label backdoor attacks on speech DNNs that resist fine-tuning, pruning, and spectral signature defenses.
citing papers explorer
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DRL-CLBA: A Clean Label Backdoor Attack for Speech Classification via DDPG Reinforcement Learning
DRL-CLBA applies DDPG reinforcement learning and deep audio steganography to create sample-specific clean-label backdoor attacks on speech DNNs that resist fine-tuning, pruning, and spectral signature defenses.