Prof Doug Leith

School of Computer Science & Statistics

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Publications

Year Authors Title
  2024 Mohamed Suliman, Swanand Kadhe, Anisa Halimi, Douglas Leith, Nathalie Baracaldo, Ambrish Rawat Data Forging Is Harder Than You Think Proc Privacy Regulation and Protection in Machine Learning Workshop at ICLR 2024 [bibtex]
  2024 Sulthana Shams, Douglas Leith Evaluating Impact of User-Cluster Targeted Attacks in Matrix Factorisation Recommenders ACM Trans Recommender Systems, 3(2), pp1 - 34. DOI: 10.1145/3674157 [bibtex]
  2024 Vaibhav Gusain, Douglas Leith Plausible Deniability of Redacted Text DPM International Workshop on Data Privacy Management, ESORICS 2024 [bibtex]
  2024 Dilina Rajapakse, Douglas Leith A Good State Estimator Can Yield A Simple Recommender: A Reinforcement Learning Perspective CIKM OARS (ONLINE AND ADAPTIVE RECOMMENDER SYSTEMS) Workshop 2024 [bibtex]
  2023 Daron Anderson, George Iosifidis, Douglas Leith Lazy Lagrangians for Optimistic Learning with Budget Constraints IEEE/ACM Transactions on Networking, 31(5), pp1935-1949. DOI: 10.1109/TNET.2022.3222404 [bibtex]
  2023 Mohamed Suliman, Douglas Leith Two Models are Better than One: Federated Learning Is Not Private For Google GBoard Next Word Prediction Proc ESORICS'23 [bibtex]
  2023 Vaibhav Gusain and Douglas J. Leith Towards Quantifying The Privacy Of Redacted Text Proc ECIR'23 [bibtex]
  2023 Haoyu Liu, Douglas Leith, Paul Patras Android OS Privacy Under the Loupe -- A Tale from the East WiSec'23. DOI: 10.1145/3558482.3581775 [bibtex]
  2023 Haoyu Liu, Paul Patras, Douglas Leith On The Data Privacy Practices Of Android OEMs Plos ONE [bibtex]
  2023 Dilina Rajapakse, Douglas Leith User Cold-Start Learning In Recommender Systems Using Monte Carlo Tree Search ACM Transactions on Recommender Systems [bibtex]
  2023 Mohamed Suliman, Douglas Leith, Anisa Halimi Re-evaluating the Privacy Benefit of Federated Learning Proc ECML-PKDD [bibtex]
  2023 Dilina Rajapakse, D.J.Leith User Cold-Start Learning In Recommender Systems Using Monte Carlo Tree Search ACM Transactions on Recommender Systems. DOI: 10.1145/3618002 [bibtex]
  2023 Naram Mhaisen, George Iosifidis, Douglas Leith Online Caching with no Regret: Optimistic Learning via Recommendations IEEE Transactions on Mobile Computing. DOI: 10.1109/TMC.2023.3317943 [bibtex]
  2022 Kamil Przepiorowski How Private Are Android Keyboards? MCS Dissertation, TCD [bibtex]
  2022 Mohamed Suliman, Douglas Leith Gradient Information From Google GBoard NWP LSTM Is Sufficient To Reconstruct Words Typed Proc Cyber-RCI 2022 [bibtex]
  2022 Sulthana Shams, Douglas Leith Improving Resistance of Matrix Factorization Recommenders To Data Poisoning Attacks Proc Cyber-RCI 2022 [bibtex]
  2022 Douglas Leith, George Iosifidis Penalised FTRL With Time-Varying Constraints Proc European Conf on Machine Learning PKDD [bibtex]
  2022 Naram Mhaisen, George Iosifidis, Douglas Leith Online Caching With Optimistic Learning Proc IFIP Networking 2022 [bibtex]
  2022 Daron Anderson, Douglas Leith Expected Regret and Pseudo-Regret are Equivalent When the Optimal Arm is Unique Journal of Machine Learning Research, 23, pp1-13 [bibtex]
  2022 Douglas Leith What Data Do The Google Dialer and Messages Apps On Android Send to Google? Proc Securecomm [bibtex]
  2022 A. Galanopoulos, G. Iosifidis, T. Salonidis, D. Leith Selective Edge Computing for Mobile Analytics IEEE Transactions on Network and Service Management. DOI: 10.1109/TNSM.2022.3174776 [bibtex]
  2022 Ruairi Gielty How Private Are News Applications? An Investigation Into the Tracking Behaviour of Popular Android News Applications MCS Dissertation, TCD [bibtex]
  2022 Conor McCauley Predicting the features of Steam reviews and determining representative users with BERT MCS Disseration, TCD [bibtex]
  2022 David Young, Douglas Leith High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits Proc European Symposium on Artificial Neural Networks (ESANN) [bibtex]
  2022 Dilina Rajapakse, Douglas Leith Fast And Accurate User Cold-Start Learning Using Monte Carlo Tree Search Proc RecSys 2022 [bibtex]
  2021 Hamid Hassani, Francesco Gringoli and Douglas J. Leith Quick and Plenty: Achieving Low Delay and High Rate in 802.11ac Edge Networks Computer Networks. DOI: 10.1016/j.comnet.2021.107820 [bibtex]
  2021 Douglas Leith Contact Tracing App Privacy: What Data Is Shared By Non-GAEN Contact Tracing Apps Mobile Networks and Applications. DOI: 10.1007/s11036-023-02136-4 [bibtex]
  2021 Douglas J. Leith Web Browser Privacy: What Do Browsers Say When They Phone Home? IEEE Access. DOI: 10.1109/ACCESS.2021.3065243 [bibtex]
  2021 Douglas J. Leith, Stephen Farrell Measurement-Based Evaluation Of Google/Apple Exposure Notification API For Proximity Detection In A Commuter Bus PLOS One. DOI: 10.1371/journal.pone.0250826 [bibtex]
  2021 D.J.Leith and S.Farrell GAEN Due Diligence: Verifying The Google/Apple Covid Exposure Notification API Proc CoronaDef'21, NDSS [bibtex]
  2021 Douglas Leith, Stephen Farrell Contact Tracing App Privacy: What Data Is Shared By Europe's GAEN Contact Tracing Apps Proc IEEE INFOCOM 2021 [bibtex]
  2021 Apostolos Galanopoulos, Jose A. Ayala-Romero, George Iosifidis, Douglas J. Leith AutoML for Video Analytics with Edge Computing Proc IEEE INFOCOM 2021 [bibtex]
  2021 Francesco Gringoli, Douglas J. Leith Modelling Downlink Packet Aggregation in Paced 802.11ac WLANs Proc MobiWac'21/MSWiM [bibtex]
  2021 Sulthana Shams, Daron Anderson, Douglas Leith Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users Proc SIGIR [bibtex]
  2021 Kariem Fahmi, Douglas Leith Smart replication for seamless and efficient real time communication in underground railway train Proc ICCCN 2021 [bibtex]
  2021 Francesco Gringoli, Douglasd Leith Low-Delay Proportional Fair Rate Allocation For 802.11ac WLAN Downlink Proc ICC 2021 [bibtex]
  2021 Douglas Leith Mobile Handset Privacy: Measuring The Data iOS and Android Send to Apple And Google Proc SECURECOM [bibtex]
  2021 Kariem Fahmi, Douglas Leith BOOST: Transport-Layer Multi-Connectivity Solution for Multi-WAN Routers 19th Mediterranean Communication and Computer Networking Conference (MedComNet 2021) [bibtex]
  2021 Thomas Kelly User Privacy & iPhones: An analysis of user privacy on the iOS platform MAI Dissertation, TCD [bibtex]
  2021 Catalina Rete Multi-Armed Bandit algorithm for news recommendation systems MCS Dissertation, TCD [bibtex]
  2021 Kariem Fahmi Architectures and Algorithms for Transport-layer Multi-connectivity in Next Generation Wireless Networks PhD Thesis [bibtex]
  2021 Kariem Fahmi and Douglas Leith Understanding MPTCP in Multi-WAN Routers: Measurements and System Design Proc LCN 2021 [bibtex]
  2021 Francesco Gringoli, Douglas Leith Low-delay high-rate operation of 802.11ac WLAN downlink: Nonlinear controller analysis & design Computer Networks. DOI: 10.1016/j.comnet.2021.108325 [bibtex]
  2021 Daron Anderson, Douglas Leith The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains Proc NeurIPS 2021 [bibtex]
  2021 Douglas Leith Mobile Handset Privacy: Measuring The Data iOS and Android Send to Apple And Google - Additional Material Proc SECURECOM [bibtex]
  2021 Douglas J. Leith Web Browser Privacy: What Do Browsers Say When They Phone Home? Additional Material IEEE Access. DOI: 10.1109/ACCESS.2021.3065243 [bibtex]
  2021 Haoyu Liu, Paul Patras, Douglas J. Leith Android Mobile OS Snooping By Samsung,Xiaomi, Huawei and Realme Handsets: Additional Material SCSS Tech Report 11th Oct 2021 [bibtex]
  2021 Alessandro Checco, Lorenzo Bracciale, Douglas J. Leith, and Giuseppe Bianchi OpenNym: Privacy Preserving Recommending via Pseudonymous Group Authentication Security and Privacy. DOI: 10.1002/spy2.201 [bibtex]
  2021 Haoyu Liu, Paul Patras, Douglas J. Leith Android Mobile OS Snooping By Samsung,Xiaomi, Huawei and Realme Handsets SCSS Tech Report 2021 [bibtex]
  2020 A. Galanopoulos, V. Valls, George Iosifidis, D.J. Leith Measurement-driven Analysis of an Edge-Assisted Object Recognition System Proc IEEE Int'l Conference on Communications (ICC). DOI: 10.1109/icc40277.2020.9149069 [bibtex]
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