Publications

Year Authors Title
  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 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 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 Haoyu Liu, Paul Patras, Douglas Leith On The Data Privacy Practices Of Android OEMs Plos ONE [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]
  2023 Vaibhav Gusain and Douglas J. Leith Towards Quantifying The Privacy Of Redacted Text Proc ECIR'23 [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 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]
  2022 Naram Mhaisen, George Iosifidis, Douglas Leith Online Caching With Optimistic Learning Proc IFIP Networking 2022 [bibtex]
  2022 Douglas Leith, George Iosifidis Penalised FTRL With Time-Varying Constraints Proc European Conf on Machine Learning PKDD [bibtex]
  2022 Douglas Leith What Data Do The Google Dialer and Messages Apps On Android Send to Google? Proc Securecomm [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 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 Kamil Przepiorowski How Private Are Android Keyboards? MCS Dissertation, TCD [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 Dilina Rajapakse, Douglas Leith Fast And Accurate User Cold-Start Learning Using Monte Carlo Tree Search Proc RecSys 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 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 Conor McCauley Predicting the features of Steam reviews and determining representative users with BERT MCS Disseration, TCD [bibtex]
  2021 Francesco Gringoli, Douglas J. Leith Modelling Downlink Packet Aggregation in Paced 802.11ac WLANs Proc MobiWac'21/MSWiM [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 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 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 Daron Anderson, Douglas Leith The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains Proc NeurIPS 2021 [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 D.J.Leith and S.Farrell GAEN Due Diligence: Verifying The Google/Apple Covid Exposure Notification API Proc CoronaDef'21, NDSS [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]
  2021 Kariem Fahmi and Douglas Leith Understanding MPTCP in Multi-WAN Routers: Measurements and System Design Proc LCN 2021 [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 Douglas Leith Mobile Handset Privacy: Measuring The Data iOS and Android Send to Apple And Google Proc SECURECOM [bibtex]
  2021 Douglas Leith Mobile Handset Privacy: Measuring The Data iOS and Android Send to Apple And Google - Additional Material Proc SECURECOM [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 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 Douglas J. Leith Web Browser Privacy: What Do Browsers Say When They Phone Home? IEEE Access. DOI: 10.1109/ACCESS.2021.3065243 [bibtex]
  2021 Catalina Rete Multi-Armed Bandit algorithm for news recommendation systems MCS Dissertation, TCD [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 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 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 Kariem Fahmi Architectures and Algorithms for Transport-layer Multi-connectivity in Next Generation Wireless Networks PhD Thesis [bibtex]
  2021 Sulthana Shams, Daron Anderson, Douglas Leith Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users Proc SIGIR [bibtex]
  2021 Thomas Kelly User Privacy & iPhones: An analysis of user privacy on the iOS platform MAI Dissertation, TCD [bibtex]
  2020 Douglas J. Leith and Stephen Farrell Coronavirus Contact Tracing: Evaluating The Potential Of Using Bluetooth Received Signal Strength For Proximity Detection ACM Computer Communications Review, Oct 2020 [bibtex]
  2020 V. Valls, G. Iosifidis, D. Leith, and L. Tassiulas Online Convex Optimization with Perturbed Constraints Proc AISTATS, 2020 [bibtex]
  2020 Stephen Farrell, Douglas J Leith A Coronavirus Contact Tracing App Replay Attack with Estimated Amplification Factors SCSS Tech Report 19 May 2020 [bibtex]
  2020 Douglas J. Leith, Stephen Farrell Coronavirus Contact Tracing: Evaluating The Potential Of Using Bluetooth Received Signal Strength For Proximity Detection ACM Computer Communications Review [bibtex]
  2020 D.J.Leith and S.Farrell Measurement-Based Evaluation Of Google/Apple Exposure Notification API For Proximity Detection In A Light-Rail Tram PLoS ONE, 15(9). DOI: https://doi.org/10.1371/journal.pone.0239943 [bibtex]

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