Luca Melis

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 31

Top Venues

CoRR

ICML

NDSS

IEEE Symposium on Security and Privacy

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Tianyu Du, Luca Melis, Ting Wang
ReMasker: Imputing Tabular Data with Masked Autoencoding. ICLR (2024)
Filippo Galli, Luca Melis, Tommaso Cucinotta
Noisy Neighbors: Efficient membership inference attacks against LLMs. CoRR (2024)
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
Federated Linear Contextual Bandits with User-level Differential Privacy. ICML (2023)
Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock
EXACT: Extensive Attack for Split Learning. CoRR (2023)
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hajzinia, Jing Yang
Federated Linear Contextual Bandits with User-level Differential Privacy. CoRR (2023)
Tianyu Du, Luca Melis, Ting Wang
ReMasker: Imputing Tabular Data with Masked Autoencoding. CoRR (2023)
Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu
Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems. IEEE Data Eng. Bull. 46 (1) (2023)
Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning. CoRR (2022)
Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity. RecSys (2022)
Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity. CoRR (2022)
Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit A. Siva
Differentially Private Query Release Through Adaptive Projection. ICML (2021)
Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergül Aydöre
Adversarial Robustness with Non-uniform Perturbations. CoRR (2021)
Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit A. Siva
Differentially Private Query Release Through Adaptive Projection. CoRR (2021)
Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergül Aydöre
Adversarial Robustness with Non-uniform Perturbations. NeurIPS (2021)
Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
Differentially Private Mixture of Generative Neural Networks. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro
LOGAN: Membership Inference Attacks Against Generative Models. Proc. Priv. Enhancing Technol. 2019 (1) (2019)
Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov
Exploiting Unintended Feature Leakage in Collaborative Learning. IEEE Symposium on Security and Privacy (2019)
Hassan Jameel Asghar, Emiliano De Cristofaro, Guillaume Jourjon, Mohamed Ali Kâafar, Laurent Mathy, Luca Melis, Craig Russell, Mang Yu
Fast privacy-preserving network function outsourcing. Comput. Networks 163 (2019)
Luca Melis, Apostolos Pyrgelis, Emiliano De Cristofaro
On Collaborative Predictive Blacklisting. CoRR (2018)
Luca Melis, Apostolos Pyrgelis, Emiliano De Cristofaro
On collaborative predictive blacklisting. Comput. Commun. Rev. 48 (5) (2018)
Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov
Inference Attacks Against Collaborative Learning. CoRR (2018)
Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
Differentially Private Mixture of Generative Neural Networks. ICDM (2017)
Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro
LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks. CoRR (2017)
Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
Differentially Private Mixture of Generative Neural Networks. CoRR (2017)
Hassan Jameel Asghar, Luca Melis, Cyril Soldani, Emiliano De Cristofaro, Mohamed Ali Kâafar, Laurent Mathy
SplitBox: Toward Efficient Private Network Function Virtualization. HotMiddlebox@SIGCOMM (2016)
Luca Melis, Hassan Jameel Asghar, Emiliano De Cristofaro, Mohamed Ali Kâafar
Private Processing of Outsourced Network Functions: Feasibility and Constructions. SDN-NFV@CODASPY (2016)
Luca Melis, George Danezis, Emiliano De Cristofaro
Efficient Private Statistics with Succinct Sketches. NDSS (2016)
Hassan Jameel Asghar, Luca Melis, Cyril Soldani, Emiliano De Cristofaro, Mohamed Ali Kâafar, Laurent Mathy
SplitBox: Toward Efficient Private Network Function Virtualization. CoRR (2016)
Luca Melis, Hassan Jameel Asghar, Emiliano De Cristofaro, Mohamed Ali Kâafar
Private Processing of Outsourced Network Functions: Feasibility and Constructions. CoRR (2016)
Luca Melis, George Danezis, Emiliano De Cristofaro
Efficient Private Statistics with Succinct Sketches. CoRR (2015)
Luca Melis, Hassan Jameel Asghar, Emiliano De Cristofaro, Mohamed Ali Kâafar
Private Processing of Outsourced Network Functions: Feasibility and Constructions. IACR Cryptol. ePrint Arch. 2015 (2015)
Giuseppe Riva, Luca Melis, Mirco Bolzoni
Treating Body-Image Disturbances. Commun. ACM 40 (8) (1997)
Giuseppe Riva, Luca Melis, Mirco Bolzoni
Virtual Reality for Assessing Body Image: The Body Image Virtual Reality Scale (Bivrs). Int. J. Virtual Real. 2 (4) (1996)

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Publication Activity (10 Years)

Top Topics

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Luca Melis