Source: Proceedings of Machine Learning Research ; Third Conference on Causal Learning and Reasoning ; https://hal.science/hal-04617032 ; Third Conference on Causal Learning and Reasoning, Apr 2024,

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Causal Discovery Under Local Privacy

Authors : Binkyte, Ruta; Pinzón, Carlos; Lestyán, Szilvia ...

Subjects: local differential privacy; d-privacy; causal discoveryCalifornia; United States

Source: Proceedings of Machine Learning Research ; Third Conference on Causal Learning and Reasoning ; https://hal.science/hal-04617032 ; Third Conference on Causal Learning and Reasoning, Apr 2024,

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Integrating Blockchain Technology with PKI for Secure and Interoperable Communication in 5G and Beyond Vehicular Networks

Authors : Fetulhak, Abdurahman; Boualouache, Abdelwahab; Senouci, Sidi, Mohammed ...

Subjects: 5G and Beyond Vehicular Networks Security and Privacy Interoperability Blockchain; 5G and Beyond Vehicular Networks; Security and PrivacyUnited StatesLAS VEGAS - Nevada, United States

Source: IEEE Consumer Communications & Networking Conference ; https://hal.science/hal-04301557 ; IEEE Consumer Communications & Networking Conference, Jan 2024, LAS VEGAS - Nevada,

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A privacy-preserving graph encryption scheme based on oblivious RAM

Authors : Kane, Seyni; Bkakria, Anis;

Subjects: Trusted Execution Environment; Privacy Enhancing Technology; Graph Encryption SchemeSan Jose; United States

Source: 38th Annual IFIP Conference on Data and Applications Security and Privacy (DBSec)https://hal.science/hal-0458855338th Annual IFIP Conference on Data and

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Fast Secure Computations on Shared Polynomials and Applications to Private Set Operations

Authors : Giorgi, Pascal; Laguillaumie, Fabien; Ottow, Lucas ...

Subjects: Multi-party computation; Polynomial operations; Privacy-preserving set operationsStanford; CA; United States

Source: ITC 2024 - 5th Information-Theoretic Cryptography Conference ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-04593144 ; ITC 2024 - 5th Information-Theoretic Cryptography Conference, Aug 2024, Stanford, CA,

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Source-Guided Similarity Preservation for Online Person Re-Identification

Authors : Rami, Hamza; Giraldo, Jhony H.; Winckler, Nicolas ...

Subjects: Online unsupervised domain adaptation; Person Re-Identification; Adaptation modelsWaikoloa; United States

Source: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)https://hal.science/hal-045417032024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan

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Blockchain technology in the healthcare sector: overview and security analysis

Authors : El Madhoun, Nour; Hammi, Badis;

Subjects: Attack; Blockchain; ConfidentialityLas vegas; NV (US); United States

Source: CCWC 2024 : IEEE 14th annual computing and communication workshop and conference ; 2024 IEEE 14th annual computing and communication workshop and conference (CCWC) ; https://hal.science/hal-04402381 ;

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Blockchain technology in the healthcare sector: overview and security analysis

Authors : El Madhoun, Nour; Hammi, Badis;

Subjects: Attack; Blockchain; ConfidentialityLas vegas; NV (US); United States

Source: CCWC 2024 : IEEE 14th annual computing and communication workshop and conference ; 2024 IEEE 14th annual computing and communication workshop and conference (CCWC) ; https://hal.science/hal-04402381 ;

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Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data

Authors : Karmakar, Pratik; Basu, Debabrota;

Subjects: Model extraction; Query complexity; Privacy RiskNew orleans; USA; United States

Source: Advances in Neural Information Processing Systems (NeurIPS) ; https://hal.science/hal-04260442 ; Advances in Neural Information Processing Systems (NeurIPS), Dec 2023, New orleans, USA,

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Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data

Authors : Karmakar, Pratik; Basu, Debabrota;

Subjects: Model extraction; Query complexity; Privacy RiskNew orleans; USA; United States

Source: Advances in Neural Information Processing Systems (NeurIPS) ; https://hal.science/hal-04260442 ; Advances in Neural Information Processing Systems (NeurIPS), Dec 2023, New orleans, USA,

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