Viktor Schlegel
Scholar

Viktor Schlegel

Google Scholar ID: m4473TAAAAAJ
Deputy Director IN-CYPHER Programme @ IGS, Imperial College London
Natural Language UnderstandingAI for HealthcareClinical NLPAI Evaluation
Homepage↗Google Scholar↗
fetch failed
Citations & Impact
All-time
Citations
456
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
28
list available
Publications
18 items
Subgroup Membership Inference Audits of Differentially Private Synthetic Text
2026
Cited
0
HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care
2026
Cited
0
The BD-LSC Dataset: Facilitating the Benchmarking of Models for Lexical Semantic Change Detection in Slang and Standard Usage
2026
Cited
0
Jacobian-Guided Anisotropic Noise Reshaping for Enhancing Representation Utility under Local Differential Privacy
2026
Cited
0
SynBench: A Benchmark for Differentially Private Text Generation
2025
Cited
0
Term2Note: Synthesising Differentially Private Clinical Notes from Medical Terms
2025
Cited
0
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
2025
Cited
0
Evaluating Differentially Private Generation of Domain-Specific Text
2025
Cited
0
Co-authors
15 total
Riza Batista-Navarro
Riza Batista-Navarro
Senior Lecturer in Text Mining, Department of Computer Science, University of Manchester
Goran Nenadic
Goran Nenadic
Department of Computer Science, University of Manchester
Hao Li
Hao Li
PhD, The University of Manchester, UK
Yuping Wu
Yuping Wu
University of Manchester
Daniel Beck
Daniel Beck
Senior Lecturer, School of Computing Technologies, RMIT University
Sophia Ananiadou
Sophia Ananiadou
Professor, Computer Science, Manchester University, National Centre for Text Mining
Anil Anthony Bharath
Anil Anthony Bharath
Dept of Bioengineering, Imperial College London & Imperial Global Singapore
Marco Valentino
Marco Valentino
University of Sheffield