{"id":2827,"date":"2023-01-12T13:57:58","date_gmt":"2023-01-12T13:57:58","guid":{"rendered":"https:\/\/harpocrates-project.eu\/publications\/"},"modified":"2023-09-12T09:24:55","modified_gmt":"2023-09-12T09:24:55","slug":"publications","status":"publish","type":"page","link":"https:\/\/harpocrates-project.eu\/fr\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

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Articles scientifiques et techniques relatifs \u00e0 notre projet<\/h1>\n

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Published Papers<\/th>Link<\/th>Repository Link<\/th>\n<\/tr>\n<\/thead>\n
Bin Liu, Antonis Michalas and Bogdan Warinschi. \u201cCryptographic Role-Based Access Control, Reconsidered\u201d. Proceedings of the 16th International Conference on Provable and Practical Security (ProvSec\u201922), Nanjing, China, 11\u201312 November 2022.<\/td>https:\/\/eprint.iacr.org\/2022\/1268.pdf<\/a><\/td><\/td>\n<\/tr>\n
R. Guanciale, N. Paladi and A. Vahidi, \"SoK: Confidential Quartet - Comparison of Platforms for Virtualization-Based Confidential Computing,\" 2022 IEEE International Symposium on Secure and Private Execution Environment Design (SEED), Storrs, CT, USA, 2022, pp. 109-120, doi: 10.1109\/SEED55351.2022.00017.<\/td>https:\/\/ieeexplore.ieee.org\/abstract\/document\/9935023<\/a><\/td><\/td>\n<\/tr>\n
Alexandros Bakas, Eugene Frimpong and Antonis Michalas. \u201cSymmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives\u201d. Proceedings of the 18th EAI International Conference on Security and Privacy in Communication Networks (SecureComm\u201922), Kansas City, United States, October 17\u201319, 2022.<\/td>https:\/\/eprint.iacr.org\/2022\/848.pdf<\/a><\/td>https:\/\/github.com\/iammrgenie\/hhe_ppml<\/a><\/td>\n<\/tr>\n
Alexandros Bakas, Antonis Michalas, Eugene Frimpong and Reyhaneh Rabbaninejad. \u201cFeel the Quantum Functioning: Instantiating Generic Multi-Input Functional Encryption from Learning with Errors\u201d. Proceedings of the 36th Annual WG 11.3 Conference on Data and Applications Security and Privacy (DBSec\u201922), Newark, NJ, USA, July 18\u201320, 2022.<\/td>https:\/\/eprint.iacr.org\/2022\/629<\/a><\/td><\/td>\n<\/tr>\n
Title: stoRNA: Stateless Transparent Proofs of Storage-time
\n
\nAuthors: Reyhaneh Rabaninejad, Behzad Abdolmaleki, Giulio Malavolta, Antonis Michalas and Amir Nabizadeh
\n
\nVenue: Proceedings of the 28th European Symposium on Research in Computer Security (ESORICS 2023), Hague, the Netherlands, September 25\u201329, 2023.<\/td>		https:\/\/eprint.iacr.org\/2023\/515.pdf<\/a><\/td><\/td>\n<\/tr>\n
Title: Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning
\n
\nAuthors: Tanveer Khan, Khoa Nguyen and Antonis Michalas
\n
\nVenue: Proceedings of the 5th International Workshop on Health Data Management in the Era of AI (HeDAI'23), co-located with the 26th International Conference on Extending Database Technology, 28-31 March, 2023, Ioannina, Greece.<\/td>		https:\/\/arxiv.org\/pdf\/2301.08778.pdf<\/a><\/td>https:\/\/github.com\/khoaguin\/HESplitNet<\/a><\/td>\n<\/tr>\n

\nHan Wang, David Eklund, Alina Oprea, Shahid Raza - \"FL4IoT: IoT Device Fingerprinting and Identification using Federated Learning\", Published: 09 June 2023
\n
\n <\/td>		https:\/\/dl.acm.org\/doi\/10.1145\/3603257<\/a><\/td><\/td>\n<\/tr>\n
Tanveer Khan, Antonis Michalas: Learning in the Dark: Privacy-Preserving Machine
\nLearning using Function Approximation<\/td>		https:\/\/arxiv.org\/abs\/2309.08190<\/a><\/td>https:\/\/gitlab.com\/nisec\/blind_faith<\/a><\/td>\n<\/tr>\n
Tanveer Khan, Khoa Nguyen, Antonis Michalas: A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning<\/td>http:\/\/arxiv.org\/abs\/2309.08697<\/a><\/td>https:\/\/github.com\/khoaguin\/HESplitNet<\/a><\/td>\n<\/tr>\n
Tanveer Khan, Khoa Nguyen, Antonis Michalas and Alexandros Bakas: Love or Hate? Share or Split? Privacy-Preserving Training
\nUsing Split Learning and Homomorphic Encryption<\/td>		https:\/\/arxiv.org\/abs\/2309.10517<\/a><\/td>https:\/\/github.com\/khoaguin\/HESplitNet<\/a><\/td>\n<\/tr>\n
Khoa Nguyen, Tanveer Khan, Antonis Michalas: Split Without a Leak: Reducing Privacy Leakage
\nin Split Learning<\/td>		https:\/\/arxiv.org\/abs\/2308.15783<\/a><\/td>https:\/\/github.com\/khoaguin\/HESplitNet<\/a><\/td>\n<\/tr>\n
Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas: GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
\n<\/td>		https:\/\/arxiv.org\/abs\/2401.14840<\/a><\/td>https:\/\/github.com\/iammrgenie\/hhe_ppml<\/a><\/td>\n<\/tr>\n
Eugene Frimpong, Alexandros Bakas, Camille Foucault and Antonis Michalas. \u201cNeed for Speed: Leveraging the Power of Functional Encryption for Resource-Constrained Devices\u201d. In Proceedings of the 9th International Conference on IoT, BigData and Security (IoTBDS\u201924), Angers, France, 28\u201330 April 2024.<\/td>https:\/\/arxiv.org\/pdf\/2401.14840.pdf<\/a><\/td>https:\/\/github.com\/iammrgenie\/sumFE_v2<\/a><\/td>\n<\/tr>\n
Tanveer Khan, Mindaugas Budzys, Khoa Nguyen and Antonis Michalas. \u201cWildest Dreams: Reproducible Research in Privacy-Preserving Neural Network Training \u201d. In Proceedings of the 24th Privacy Enhancing Technologies Symposium (PETS\u201924), Bristol, U.K., 15\u201320 July 2024.<\/td>https:\/\/arxiv.org\/pdf\/2403.03592.pdf<\/a><\/td><\/td>\n<\/tr>\n
Tanveer Khan, Mindaugas Budzys and Antonis Michalas: \"Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning\". 15\u201417 May, 2024, San Antonio, Texas, USA<\/td>https:\/\/arxiv.org\/pdf\/2404.09265.pdf<\/a><\/td>https:\/\/github.com\/UnoriginalOrigi\/SplitFSS<\/a><\/td>\n<\/tr>\n
Camille Foucault, Reyhaneh Rabbaninejad, Tassos Dimitriou and Antonis Michalas: \"FE[r]Chain: Enforcing Fairness in Blockchain Data Exchanges Through Verifiable Functional Encryption\". 15\u201417 May, 2024, San Antonio, Texas, USA.<\/td>https:\/\/eprint.iacr.org\/2024\/660.pdf<\/a><\/td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

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<\/span> Home<\/span><\/a><\/span> &#x39;<\/span> <\/span><\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>Articles scientifiques et techniques relatifs \u00e0 notre projet\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Published Papers<\/th>Link<\/th>Repository Link<\/th>\n<\/tr>\n<\/thead>\n
Bin Liu, Antonis Michalas and Bogdan Warinschi. \u201cCryptographic Role-Based Access Control, Reconsidered\u201d. Proceedings of the 16th International Conference on Provable and Practical Security (ProvSec\u201922), Nanjing, China, 11\u201312 November 2022.<\/td>https:\/\/eprint.iacr.org\/2022\/1268.pdf<\/a><\/td><\/td>\n<\/tr>\n
R. Guanciale, N. Paladi and A. Vahidi, \"SoK: Confidential Quartet - Comparison of Platforms for Virtualization-Based Confidential Computing,\" 2022 IEEE International Symposium on Secure and Private Execution Environment Design (SEED), Storrs, CT, USA, 2022, pp. 109-120, doi: 10.1109\/SEED55351.2022.00017.<\/td>https:\/\/ieeexplore.ieee.org\/abstract\/document\/9935023<\/a><\/td><\/td>\n<\/tr>\n
Alexandros Bakas, Eugene Frimpong and Antonis Michalas. \u201cSymmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives\u201d. Proceedings of the 18th EAI International Conference on Security and Privacy in Communication Networks (SecureComm\u201922), Kansas City, United States, October 17\u201319, 2022.<\/td>https:\/\/eprint.iacr.org\/2022\/848.pdf<\/a><\/td>https:\/\/github.com\/iammrgenie\/hhe_ppml<\/a><\/td>\n<\/tr>\n
Alexandros Bakas, Antonis Michalas, Eugene Frimpong and Reyhaneh Rabbaninejad. \u201cFeel the Quantum Functioning: Instantiating Generic Multi-Input Functional Encryption from Learning with Errors\u201d. Proceedings of the 36th Annual WG 11.3 Conference on Data and Applications Security and Privacy (DBSec\u201922), Newark, NJ, USA, July 18\u201320, 2022.<\/td>https:\/\/eprint.iacr.org\/2022\/629<\/a><\/td><\/td>\n<\/tr>\n
Title: stoRNA: Stateless Transparent Proofs of Storage-time
\n
\nAuthors: Reyhaneh Rabaninejad, Behzad Abdolmaleki, Giulio Malavolta, Antonis Michalas and Amir Nabizadeh
\n
\nVenue: Proceedings of the 28th European Symposium on Research in Computer Security (ESORICS 2023), Hague, the Netherlands, September 25\u201329, 2023.<\/td>		https:\/\/eprint.iacr.org\/2023\/515.pdf<\/a><\/td><\/td>\n<\/tr>\n
Title: Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning
\n
\nAuthors: Tanveer Khan, Khoa Nguyen and Antonis Michalas
\n
\nVenue: Proceedings of the 5th International Workshop on Health Data Management in the Era of AI (HeDAI'23), co-located with the 26th International Conference on Extending Database Technology, 28-31 March, 2023, Ioannina, Greece.<\/td>		https:\/\/arxiv.org\/pdf\/2301.08778.pdf<\/a><\/td>https:\/\/github.com\/khoaguin\/HESplitNet<\/a><\/td>\n<\/tr>\n

\nHan Wang, David Eklund, Alina Oprea, Shahid Raza - \"FL4IoT: IoT Device Fingerprinting and Identification using Federated Learning\", Published: 09 June 2023
\n
\n <\/td>		https:\/\/dl.acm.org\/doi\/10.1145\/3603257<\/a><\/td><\/td>\n<\/tr>\n
Tanveer Khan, Antonis Michalas: Learning in the Dark: Privacy-Preserving Machine
\nLearning using Function Approximation<\/td>		https:\/\/arxiv.org\/abs\/2309.08190<\/a><\/td>https:\/\/gitlab.com\/nisec\/blind_faith<\/a><\/td>\n<\/tr>\n
Tanveer Khan, Khoa Nguyen, Antonis Michalas: A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning<\/td>http:\/\/arxiv.org\/abs\/2309.08697<\/a><\/td>https:\/\/github.com\/khoaguin\/HESplitNet<\/a><\/td>\n<\/tr>\n
Tanveer Khan, Khoa Nguyen, Antonis Michalas and Alexandros Bakas: Love or Hate? Share or Split? Privacy-Preserving Training
\nUsing Split Learning and Homomorphic Encryption<\/td>		https:\/\/arxiv.org\/abs\/2309.10517<\/a><\/td>https:\/\/github.com\/khoaguin\/HESplitNet<\/a><\/td>\n<\/tr>\n
Khoa Nguyen, Tanveer Khan, Antonis Michalas: Split Without a Leak: Reducing Privacy Leakage
\nin Split Learning<\/td>		https:\/\/arxiv.org\/abs\/2308.15783<\/a><\/td>https:\/\/github.com\/khoaguin\/HESplitNet<\/a><\/td>\n<\/tr>\n
Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas: GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
\n<\/td>		https:\/\/arxiv.org\/abs\/2401.14840<\/a><\/td>https:\/\/github.com\/iammrgenie\/hhe_ppml<\/a><\/td>\n<\/tr>\n
Eugene Frimpong, Alexandros Bakas, Camille Foucault and Antonis Michalas. \u201cNeed for Speed: Leveraging the Power of Functional Encryption for Resource-Constrained Devices\u201d. In Proceedings of the 9th International Conference on IoT, BigData and Security (IoTBDS\u201924), Angers, France, 28\u201330 April 2024.<\/td>https:\/\/arxiv.org\/pdf\/2401.14840.pdf<\/a><\/td>https:\/\/github.com\/iammrgenie\/sumFE_v2<\/a><\/td>\n<\/tr>\n
Tanveer Khan, Mindaugas Budzys, Khoa Nguyen and Antonis Michalas. \u201cWildest Dreams: Reproducible Research in Privacy-Preserving Neural Network Training \u201d. In Proceedings of the 24th Privacy Enhancing Technologies Symposium (PETS\u201924), Bristol, U.K., 15\u201320 July 2024.<\/td>https:\/\/arxiv.org\/pdf\/2403.03592.pdf<\/a><\/td><\/td>\n<\/tr>\n
Tanveer Khan, Mindaugas Budzys and Antonis Michalas: \"Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning\". 15\u201417 May, 2024, San Antonio, Texas, USA<\/td>https:\/\/arxiv.org\/pdf\/2404.09265.pdf<\/a><\/td>https:\/\/github.com\/UnoriginalOrigi\/SplitFSS<\/a><\/td>\n<\/tr>\n
Camille Foucault, Reyhaneh Rabbaninejad, Tassos Dimitriou and Antonis Michalas: \"FE[r]Chain: Enforcing Fairness in Blockchain Data Exchanges Through Verifiable Functional Encryption\". 15\u201417 May, 2024, San Antonio, Texas, USA.<\/td>https:\/\/eprint.iacr.org\/2024\/660.pdf<\/a><\/td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-2827","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/harpocrates-project.eu\/fr\/wp-json\/wp\/v2\/pages\/2827","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/harpocrates-project.eu\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/harpocrates-project.eu\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/harpocrates-project.eu\/fr\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/harpocrates-project.eu\/fr\/wp-json\/wp\/v2\/comments?post=2827"}],"version-history":[{"count":1,"href":"https:\/\/harpocrates-project.eu\/fr\/wp-json\/wp\/v2\/pages\/2827\/revisions"}],"predecessor-version":[{"id":2862,"href":"https:\/\/harpocrates-project.eu\/fr\/wp-json\/wp\/v2\/pages\/2827\/revisions\/2862"}],"wp:attachment":[{"href":"https:\/\/harpocrates-project.eu\/fr\/wp-json\/wp\/v2\/media?parent=2827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}