A low-stake adversary can degrade a liquid staking pool's performance via consensus manipulation and profit from the resulting drop in its LST value through application-layer financial positions.
Ethereum Proof-of-Stake under Scrutiny
3 Pith papers cite this work. Polarity classification is still indexing.
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A new framework to locate Ethereum validators enables demonstration of practical routing attacks that can cause hundreds of ETH in losses or boost MEV by 44% in the PoS consensus.
AutoGraphAD applies a heterogeneous variational graph autoencoder with unsupervised and contrastive learning to detect network anomalies on connection-IP graphs without labeled data, achieving comparable performance to Anomal-E with over an order of magnitude faster training and inference.
citing papers explorer
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Your Loss is My Gain: Low Stake Attacks on Liquid Staking Pools
A low-stake adversary can degrade a liquid staking pool's performance via consensus manipulation and profit from the resulting drop in its LST value through application-layer financial positions.
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Routing Attacks in Ethereum PoS: A Systematic Exploration
A new framework to locate Ethereum validators enables demonstration of practical routing attacks that can cause hundreds of ETH in losses or boost MEV by 44% in the PoS consensus.
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AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders
AutoGraphAD applies a heterogeneous variational graph autoencoder with unsupervised and contrastive learning to detect network anomalies on connection-IP graphs without labeled data, achieving comparable performance to Anomal-E with over an order of magnitude faster training and inference.