Anum Paracha- PhD Student at Birmingham City University
Anum Paracha
- PhD Student at Birmingham City University
About
7
Publications
423
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
26
Citations
Current institution
Publications
Publications (7)
Poisoning attacks are a primary threat to machine learning (ML) models, aiming to compromise their performance and reliability by manipulating training datasets. This paper introduces a novel attack—outlier-oriented poisoning (OOP) attack, which manipulates labels of most distanced samples from the decision boundaries. To ascertain the severity of...
Poisoning attacks represent one of the most common and practical adversarial attempts on machine learning systems. In this paper, we have conducted a deep behavioural analysis of six machine learning algorithms, analyzing poisoning impact and correlation between poisoning levels and classification accuracy. Adopting an empirical approach, we highli...
Purpose
Advances in machine learning (ML) have made significant contributions to the development of intelligent and autonomous systems leading to concerns about resilience of such systems against cyberattacks. This paper aims to report findings from a quantitative analysis of literature within ML security to assess current research trends in ML sec...
Poisoning attacks are a primary threat to machine learning models, aiming to compromise their performance and reliability by manipulating training datasets. This paper introduces a novel attack - Outlier-Oriented Poisoning (OOP) attack, which manipulates labels of most distanced samples from the decision boundaries. The paper also investigates the...
Machine learning has become prevalent in transforming diverse aspects of our daily lives through intelligent digital solutions. Advanced disease diagnosis, autonomous vehicular systems, and automated threat detection and triage are some prominent use cases. Furthermore, the increasing use of machine learning in critical national infrastructures suc...
