A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Data science detects Ethereum honeypots using transaction behavior.
Trapdoors in neural networks attract adversarial attacks, making them easier to detect.
Study reveals risks of investing in new crypto-tokens in decentralized exchanges.
A novel model combines deep learning and extreme value theory for multivariate cyber risk prediction.
Bayesian context trees capture complex dependencies in categorical sequences.
Paper proposes FHMM for better attacker behaviour profiling.
Gated Recurrent Unit (GRU) is a recently-developed variation of the long short-term memory (LSTM) unit, both of which are types of recurrent neural network (RNN). Through empirical evidence, both models have been proven to be effective in a wide variety of machine learning tasks such as natural language processing (Wen…
Classifiers operating in a dynamic, real world environment, are vulnerable to adversarial activity, which causes the data distribution to change over time. These changes are traditionally referred to as concept drift, and several approaches have been developed in literature to deal with the problem of drift handling an…