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Luca Melis
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Exploiting unintended feature leakage in collaborative learning
L Melis, C Song, E De Cristofaro, V Shmatikov
2019 IEEE symposium on security and privacy (SP), 691-706, 2019
8162019
Logan: Membership inference attacks against generative models
J Hayes, L Melis, G Danezis, E De Cristofaro
arXiv preprint arXiv:1705.07663, 2017
356*2017
Efficient private statistics with succinct sketches
L Melis, G Danezis, E De Cristofaro
NDSS 2016, 2015
1112015
Differentially private mixture of generative neural networks
G Acs, L Melis, C Castelluccia, E De Cristofaro
IEEE Transactions on Knowledge and Data Engineering 31 (6), 1109-1121, 2018
1082018
Splitbox: Toward efficient private network function virtualization
HJ Asghar, L Melis, C Soldani, E De Cristofaro, MA Kaafar, L Mathy
Proceedings of the 2016 workshop on Hot topics in Middleboxes and Network …, 2016
442016
Private processing of outsourced network functions: Feasibility and constructions
L Melis, HJ Asghar, E De Cristofaro, MA Kaafar
Proceedings of the 2016 ACM International Workshop on Security in Software …, 2016
372016
Differentially private query release through adaptive projection
S Aydore, W Brown, M Kearns, K Kenthapadi, L Melis, A Roth, AA Siva
International Conference on Machine Learning, 457-467, 2021
112021
Building and measuring privacy-preserving predictive blacklists
L Melis, A Pyrgelis, E De Cristofaro
arXiv preprint arXiv:1512.04114, 2015
8*2015
Adversarial robustness with non-uniform perturbations
E Erdemir, J Bickford, L Melis, S Aydore
Advances in Neural Information Processing Systems 34, 19147-19159, 2021
72021
Building and evaluating privacy-preserving data processing systems
L Melis
UCL (University College London), 2018
22018
Detecting anomalous events using autoencoders
B Coskun, W Ding, L Melis
US Patent 11,374,952, 2022
2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
M Hejazinia, D Huba, I Leontiadis, K Maeng, M Malek, L Melis, I Mironov, ...
arXiv preprint arXiv:2206.03852, 2022
2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
K Maeng, H Lu, L Melis, J Nguyen, M Rabbat, CJ Wu
arXiv preprint arXiv:2206.02633, 2022
2022
Fast privacy-preserving network function outsourcing
HJ Asghar, E De Cristofaro, G Jourjon, MA Kaafar, L Mathy, L Melis, ...
Computer Networks 163, 106893, 2019
2019
Measuring and Privately Building Highly Predictive Blacklisting
L Melis, A Pyrgelis, E De Cristofaro
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Articles 1–15