Luca Melis

According to our database, Luca Melis authored at least 21 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems.

Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu

IEEE Data Eng. Bull., 2023

ReMasker: Imputing Tabular Data with Masked Autoencoding.

Tianyu Du, Luca Melis, Ting Wang

CoRR, 2023

EXACT: Extensive Attack for Split Learning.

Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock

CoRR, 2023

Federated Linear Contextual Bandits with User-level Differential Privacy.

Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning.

Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu

CoRR, 2022

Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity.

Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Adversarial Robustness with Non-uniform Perturbations.

Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergül Aydöre

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Query Release Through Adaptive Projection.

Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Differentially Private Mixture of Generative Neural Networks.

Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro

IEEE Trans. Knowl. Data Eng., 2019

LOGAN: Membership Inference Attacks Against Generative Models.

Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro

Proc. Priv. Enhancing Technol., 2019

Fast privacy-preserving network function outsourcing.

Hassan Jameel Asghar, Emiliano De Cristofaro, Guillaume Jourjon, Mohamed Ali Kâafar, Laurent Mathy, Luca Melis, Craig Russell, Mang Yu

Comput. Networks, 2019

Exploiting Unintended Feature Leakage in Collaborative Learning.

Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

2018

Building and evaluating privacy-preserving data processing systems.

Luca Melis

PhD thesis, 2018

Inference Attacks Against Collaborative Learning.

Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov

CoRR, 2018

On collaborative predictive blacklisting.

Luca Melis, Apostolos Pyrgelis, Emiliano De Cristofaro

Comput. Commun. Rev., 2018

2017

LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks.

Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro

CoRR, 2017

2016

SplitBox: Toward Efficient Private Network Function Virtualization.

Hassan Jameel Asghar, Luca Melis, Cyril Soldani, Emiliano De Cristofaro, Mohamed Ali Kâafar, Laurent Mathy

Proceedings of the ACM SIGCOMM Workshop on Hot topics in Middleboxes and Network Function Virtualization, 2016

Efficient Private Statistics with Succinct Sketches.

Luca Melis, George Danezis, Emiliano De Cristofaro

Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

2015

Private Processing of Outsourced Network Functions: Feasibility and Constructions.

Luca Melis, Hassan Jameel Asghar, Emiliano De Cristofaro, Mohamed Ali Kâafar

IACR Cryptol. ePrint Arch., 2015

1997

Treating Body-Image Disturbances.

Giuseppe Riva, Luca Melis, Mirco Bolzoni

Commun. ACM, 1997

1996

Virtual Reality for Assessing Body Image: The Body Image Virtual Reality Scale (Bivrs).

Giuseppe Riva, Luca Melis, Mirco Bolzoni

Int. J. Virtual Real., 1996