Search Results for author: Antonio Barbalau

Found 6 papers, 4 papers with code

A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI

1 code implementation6 Jun 2020 Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu

In this work, we focus on explainable AI and propose a novel generic and model-agnostic framework for synthesizing input exemplars that maximize a desired response from a machine learning model.

Black-Box Ripper: Copying black-box models using generative evolutionary algorithms

1 code implementation NeurIPS 2020 Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu

To generate useful data samples for training the student, our framework (i) learns to generate images on a proxy data set (with images and classes different from those used to train the black-box) and (ii) applies an evolutionary strategy to make sure that each generated data sample exhibits a high response for a specific class when given as input to the black box.

Evolutionary Algorithms

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

1 code implementation CVPR 2021 Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah

To the best of our knowledge, we are the first to approach anomalous event detection in video as a multi-task learning problem, integrating multiple self-supervised and knowledge distillation proxy tasks in a single architecture.

Abnormal Event Detection In Video Anomaly Detection In Surveillance Videos +4

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

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