ABC-DFL replaces central FL servers with a permissioned blockchain and introduces FLECA for filtering malicious updates via adaptive thresholds and oracle-based clustering to achieve Byzantine-resilient decentralized learning for EV battery intelligence.
Badnets: Evaluating backdooring attacks on deep neural networks,
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BackFlush detects backdoors via susceptibility amplification and eliminates them with RoPE unlearning to reach 1% ASR and 99% clean accuracy while preserving watermarks.
citing papers explorer
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Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
ABC-DFL replaces central FL servers with a permissioned blockchain and introduces FLECA for filtering malicious updates via adaptive thresholds and oracle-based clustering to achieve Byzantine-resilient decentralized learning for EV battery intelligence.
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BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models
BackFlush detects backdoors via susceptibility amplification and eliminates them with RoPE unlearning to reach 1% ASR and 99% clean accuracy while preserving watermarks.