Douglas Leith
Trinity College
H-index: 52
North America-United States
Top articles of Douglas Leith
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Data Forging Is Harder Than You Think | Mohamed Suliman Swanand Kadhe Anisa Halimi Douglas Leith Nathalie Baracaldo Angel | 2024/5/7 | |
Towards Quantifying the Privacy of Redacted Text | Vaibhav Gusain Douglas Leith | 2023/3/17 | |
Two models are better than one: Federated learning is not private for google gboard next word prediction | Mohamed Suliman Douglas Leith | 2023/9/25 | |
Lazy lagrangians for optimistic learning With budget constraints | IEEE/ACM Transactions on Networking | Daron Anderson George Iosifidis Douglas J Leith | 2023/1/18 |
Online Caching with no Regret: Optimistic Learning via Recommendations | IEEE Transactions on Mobile Computing | Naram Mhaisen George Iosifidis Douglas Leith | 2023/9/22 |
User Cold-Start Learning In Recommender Systems Using Monte Carlo Tree Search | ACM Transactions on Recommender Systems | Dilina Chandika Rajapakse Douglas Leith | 2023 |
Re-evaluating the Privacy Benefit of Federated Learning | Mohamed Suliman Douglas Leith Anisa Halimi | 2023/9/18 | |
On The Data Privacy Practices Of Android OEMs | Plos ONE | Douglas Leith Haoyu Liu Paul Patras | 2023 |
High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits | arXiv preprint arXiv:2305.18305 | David Young Douglas Leith | 2023/5/12 |
Evaluating Impact of User-Cluster Targeted Attacks in Matrix Factorisation Recommenders | arXiv preprint arXiv:2305.04694 | Sulthana Shams Douglas Leith | 2023/5/8 |
Attack Detection Using Item Vector Shift in Matrix Factorisation Recommenders | arXiv e-prints | Sulthana Shams Douglas Leith | 2023/12 |
Improving Resistance of Matrix Factorization Recommenders To Data Poisoning Attacks | Sulthana Shams Douglas J Leith | 2022/4/25 | |
Online Caching with Optimistic Learning | Naram Mhaisen George Iosifidis Douglas Leith | 2022/6/13 | |
Gradient information from google GBoard NWP LSTM is sufficient to reconstruct words typed | Mohamed Suliman Douglas J Leith | 2022/4/25 | |
Lazy Lagrangians with Predictions for Online Learning | arXiv preprint arXiv:2201.02890 | Daron Anderson George Iosifidis Douglas J Leith | 2022/1/8 |
Penalised FTRL With Time-Varying Constraints | Douglas J Leith George Iosifidis | 2022/4/5 | |
Expected regret and pseudo-regret are equivalent when the optimal arm is unique | Journal of Machine Learning Research | Daron Anderson Douglas J Leith | 2022 |
Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search | Dilina Chandika Rajapakse Douglas Leith | 2022/9/18 | |
OpenNym: Privacy preserving recommending via pseudonymous group authentication | Security and Privacy | Alessandro Checco Lorenzo Bracciale Douglas J Leith Giuseppe Bianchi | 2022/3 |
Selective edge computing for mobile analytics | IEEE Transactions on Network and Service Management | Apostolos Galanopoulos George Iosifidis Theodoros Salonidis Douglas J Leith | 2022/5/12 |
Co-Authors
