Search Results for author: Jörg Wicker

Found 6 papers, 3 papers with code

A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends

no code implementations16 Nov 2023 Yan Cathy Hua, Paul Denny, Katerina Taskova, Jörg Wicker

Aspect-based Sentiment Analysis (ABSA) is a type of fine-grained sentiment analysis (SA) that identifies aspects and the associated opinions from a given text.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks

no code implementations24 Oct 2023 Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker

This paper presents a novel fully-agnostic framework, DIVA (Detecting InVisible Attacks), that detects attacks solely relying on analyzing the potentially poisoned data set.

Fast Adversarial Label-Flipping Attack on Tabular Data

no code implementations16 Oct 2023 Xinglong Chang, Gillian Dobbie, Jörg Wicker

To demonstrate this risk is inherited in the adversary's objective, we propose FALFA (Fast Adversarial Label-Flipping Attack), a novel efficient attack for crafting adversarial labels.

Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments

1 code implementation17 Apr 2023 Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker

Running complex sets of machine learning experiments is challenging and time-consuming due to the lack of a unified framework.

Management

Hitting the Target: Stopping Active Learning at the Cost-Based Optimum

1 code implementation7 Oct 2021 Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker

This work enables practitioners to employ active learning by providing actionable recommendations for which stopping criteria are best for a given real-world scenario.

Active Learning

BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability

1 code implementation2 May 2021 Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker

Applicability Domain defines a domain based on the known compounds and rejects any unknown compound that falls outside the domain.

Blocking

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