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Professor Douglas Leith

Professor of Computer Systems (Computer Science)
LLOYD INSTITUTE
      
Profile Photo

Professor Douglas Leith

Professor of Computer Systems (Computer Science)
LLOYD INSTITUTE

 leithdo@tcd.ie

 3531896 1534


Doug Leith graduated from the University of Glasgow in 1986 and was awarded his PhD, also from the University of Glasgow, in 1989. Prof. Leith moved to the National University of Ireland, Maynooth in 2001 to establish the Hamilton Institute (www.hamilton.ie) of which he was founding Director from 2001-2014. In Dec 2014, Prof Leith moved to Trinity College Dublin to take up the Chair of Computer Systems in the School of Computer Science and Statistics. His current research interests include machine learning (especially multi-arm bandits, reinforcement learning and online optimisation), recommender systems, data privacy in mobile handsets and privacy enhanced machine learning.
  data privacy   distributed optimisation   MACHINE LEARNING   network congestion control   RECOMMENDER SYSTEMS   wireless networks
Vaibhav Gusain, Douglas Leith, Improving Privacy Benefits of Redaction, ESANN, 2025, pp1 - 8, Conference Paper, PUBLISHED  DOI  URL
David Young, Douglas Leith, New Convergence Rates for Function Approximation Using Kernel Methods, Allerton Conference, 2025, Conference Paper, PUBLISHED  TARA - Full Text  DOI  URL
Patrick Haughey, Douglas Leith, Hyperparameter Optimisation Methods For Transformer Neural Nets, Conference on Artificial Intelligence and Cognitive Science, 2025, pp1 - 6, Conference Paper, PUBLISHED  TARA - Full Text  DOI  URL
Sulthana Shams, Douglas Leith, Evaluating Impact of User-Cluster Targeted Attacks in Matrix Factorisation Recommenders, ACM Transactions on Recommender Systems, 3, (2), 2025, p1-34 , Journal Article, PUBLISHED  DOI
Shams, Sulthana and Leith, Douglas, Attack Detection Using Item Vector Shift in Matrix Factorisation Recommenders, ACM Transactions on Privacy and Security, 28, (2), 2025, Notes: [Cited by: 0; All Open Access, Green Open Access], Journal Article, PUBLISHED  DOI
Mohamed Suliman and Swanand Kadhe and Anisa Halimi and Douglas Leith and Nathalie Baracaldo and Ambrish Rawat, Data Forging Is Harder Than You Think, ICLR Workshop on Privacy Regulation and Protection in Machine Learning, 2024, pp1-8 , Conference Paper, PUBLISHED  DOI  URL
Mohamed Suliman, Douglas Leith, Two Models are Better Than One: Federated Learning is Not Private for Google GBoard Next Word Prediction, ESORICS, 2024, pp105-122 , Conference Paper, PUBLISHED  DOI
Vaibhav Gusain, Douglas Leith, Plausible Deniability of Redacted Text, ESORICS, 2024, pp1-8 , Conference Paper, PUBLISHED  DOI  URL
Dilina Rajapakse, Douglas Leith, A Good State Estimator Can Yield A Simple Recommender: A Reinforcement Learning Perspective, CIKM, 2024, pp1-8 , Conference Paper, PUBLISHED  DOI  URL
What Data Do the Google Dialer and Messages Apps on Android Send to Google? in, Springer Nature Switzerland, 2023, pp549-568 , [Leith, Douglas J.], Book Chapter, PUBLISHED  DOI
  

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Mohamed Suliman, Anisa Halimi, Swanand Ravindra Kadhe, Nathalie Baracaldo, Douglas Leith, Towards a Re-evaluation of Data Forging Attacks in Practice, Usenix Security, 2025, Conference Paper, PUBLISHED
D.J.Leith and Oliver Mason, Interdisciplinary Workshop on Data Privacy, 2014, NUI Maynooth, Meetings /Conferences Organised, PUBLISHED
D.J.Leith and K.R.Duffy, International Workshop on Network Science, 2011, NUI Maynooth, Meetings /Conferences Organised, PUBLISHED

  


machine learning, multi-arm bandits, reinforcement learning, online optimisation, recommender systems, data privacy in mobile handsets, privacy enhanced machine learning