Search Results for author: Andrei Manolache

Found 4 papers, 3 papers with code

VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web

no code implementations7 Jul 2022 Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu

The DarkWeb represents a hotbed for illicit activity, where users communicate on different market forums in order to exchange goods and services.

Authorship Verification

AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection

1 code implementation30 Jun 2022 Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad

Analyzing the distribution shift of data is a growing research direction in nowadays Machine Learning (ML), leading to emerging new benchmarks that focus on providing a suitable scenario for studying the generalization properties of ML models.

Network Intrusion Detection Unsupervised Anomaly Detection

DATE: Detecting Anomalies in Text via Self-Supervision of Transformers

1 code implementation NAACL 2021 Andrei Manolache, Florin Brad, Elena Burceanu

Leveraging deep learning models for Anomaly Detection (AD) has seen widespread use in recent years due to superior performances over traditional methods.

Anomaly Detection

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