Prof Sarah Monazam Erfani
Professor
School of Computing and Information Systems
133 Scholarly works
12 Projects
HIGHLIGHTS
2026
Journal article
A Bayesian framework for robust local intrinsic dimensionality estimation
DOI: 10.1016/j.is.2025.1026682026
Journal article
Semantic-aware Adversarial Fine-tuning for CLIP
2026
Journal article
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models
DOI: 10.1609/aaai.v40i43.409962025
Research contracts (non-grants)
Adversarial Reinforcement Learning: Attacks and Defences
2020
Research grants (ARC, NHMRC, MRFF)
Learning the Focus of Attention to Detect Distributed Coordinated Attacks
2019
Journal article
Support vector machines resilient against training data integrity attacks
DOI: 10.1016/j.patcog.2019.1069852017
Research Contracts
Adversarial Machine Learning for Cyber
RECENT SCHOLARLY WORKS
2025
Journal article
Algorithmically-designed reward shaping for multiagent reinforcement learning in navigation
DOI: 10.1016/j.neucom.2025.1316542025
Conference Proceedings
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation
DOI: 10.1145/3746252.37610642025
Conference Proceedings
Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis
DOI: 10.1145/3746027.37557442025
Journal article
OIL-AD: An anomaly detection framework for decision-making sequences
DOI: 10.1016/j.patcog.2025.1116562025
Journal article
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
DOI: 10.1145/37225532025
Conference Proceedings
Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks
DOI: 10.1007/978-981-96-8197-6_212025
Conference Proceedings
Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection
DOI: 10.1109/WACV61041.2025.00828
RECENT PROJECTS
2020
Research grants (ARC, NHMRC, MRFF)
RAINBOW - RAdIo Networks Based on Machine Learning for Situation aWareness