Christopher Leckie

OIL-AD: An anomaly detection framework for decision-making sequences

Pattern Recognition 2025cited by 3position: contributordoi

S-CPD: Topological Smoothing-Based Change Point Detection

Lecture Notes in Computer Science 2025cited by 1position: contributordoi

GreedyPixel: Fine-Grained Black-Box Adversarial Attack via Greedy Algorithm

IEEE Transactions on Information Forensics and Security 2025cited by 1position: contributordoi

(Poster) Adversarial Training Under Data Exclusion Attacks as a Zero-Sum Game

Lecture Notes in Computer Science 2025cited by 0position: contributordoi

SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation

Proceedings of the 34th ACM International Conference on Information and Knowledge Management 2025cited by 0position: contributordoi

Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks

Lecture Notes in Computer Science 2025cited by 0position: contributordoi

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery

IEEE Access 2025cited by 0position: contributordoi

Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals

IEEE Transactions on Knowledge and Data Engineering 2024cited by 11position: contributordoi

Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection

Lecture Notes in Computer Science 2024cited by 1position: contributordoi

LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection

IEEE Access 2024cited by 1position: contributordoi

ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection

Lecture Notes in Computer Science 2024cited by 0position: contributordoi

Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning

Frontiers in Artificial Intelligence and Applications 2024cited by 0position: contributordoi

Benchmarking adversarially robust quantum machine learning at scale

Physical Review Research 2023cited by 56position: contributordoi

Electrical Model-Free Voltage Calculations Using Neural Networks and Smart Meter Data

IEEE Transactions on Smart Grid 2023cited by 54position: contributordoi

Adversarial Coreset Selection for Efficient Robust Training

International Journal of Computer Vision 2023cited by 5position: contributordoi

COLLIDER: A Robust Training Framework for Backdoor Data

Lecture Notes in Computer Science 2023cited by 2position: contributordoi

EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs

Lecture Notes in Computer Science 2023cited by 0position: contributordoi

$$\ell _\infty $$-Robustness and Beyond: Unleashing Efficient Adversarial Training

Lecture Notes in Computer Science 2022cited by 4position: contributordoi

Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection

Lecture Notes in Computer Science 2022cited by 0position: contributordoi

Continual Learning for Fake News Detection from Social Media

Lecture Notes in Computer Science 2021cited by 57position: contributordoi

Distributed Generative Adversarial Networks for Anomaly Detection

Lecture Notes in Computer Science 2020cited by 6position: contributordoi

Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams

Lecture Notes in Computer Science 2020cited by 0position: contributordoi

Approximating Dunn’s Cluster Validity Indices for Partitions of Big Data

IEEE Transactions on Cybernetics 2019cited by 23position: contributordoi

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

Pattern Recognition 2016cited by 1,167position: lastdoi

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