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Researcher profile

Carsten Maple

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. A hybrid approach to combat email-based cyberstalking

    2015

    Email is one of the most popular Internet applications which enables individuals and organisations alike to communicate and work effectively. However, email has also been used by criminals as a means to commit cybercrimes such …

  2. Federated Boosted Decision Trees with Differential Privacy

    2022 · Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

    There is great demand for scalable, secure, and efficient privacy-preserving machine learning models that can be trained over distributed data. While deep learning models typically achieve the best results in a centralized non-secure setting, different …

  3. An Enhanced Block Validation Framework With Efficient Consensus for Secure Consortium Blockchains

    2023 · IEEE Transactions on Services Computing

    Consortium blockchains have attracted considerable interest from academia and industry due to their low-cost installation and maintenance. However, typical consortium blockchains can be easily attacked by colluding block validators because of the limited number of …

  4. Vision Transformer With Adversarial Indicator Token Against Adversarial Attacks in Radio Signal Classifications

    2025 · IEEE Internet of Things Journal

    The remarkable success of transformers across various fields such as natural language processing and computer vision has paved the way for their applications in automatic modulation classification, a critical component in the communication systems of …

  5. Individualised Counterfactual Examples Using Conformal Prediction Intervals

    2025 · arXiv (Cornell University)

    Counterfactual explanations for black-box models aim to pr ovide insight into an algorithmic decision to its recipient. For a binary classification problem an individual counterfactual details which features might be changed for the model to …

  6. Threats and vulnerabilities in artificial intelligence and agentic AI models

    2026 · Frontiers in Artificial Intelligence

    Introduction: Adversarial robustness in artificial intelligence is commonly defined in terms of input-level perturbations applied to static models. This study reconceptualises adversarial vulnerability for artificial and agentic AI systems by extending the threat model to …