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Conference

DP-SGD Without Clipping: The Lipschitz Neural Network Way

Subjects: deep learning; privacy; machine learningVienna; Austria

  • Source: International Conference on Learning Representations (ICLR) ; https://hal.science/hal-04130913 ; International Conference on Learning Representations (ICLR), May 2024, Vienna, Austria

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Conference

Probabilistic Dataset Reconstruction from Interpretable Models

Subjects: Reconstruction Attack; Privacy; InterpretabilityTorontoToronto, Canada

  • Source: 2nd IEEE Conference on Secure and Trustworthy Machine Learninghttps://hal.science/hal-041895662nd IEEE Conference on Secure and Trustworthy Machine Learning, Apr 2024, Toronto, Canada

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Conference

The Interplay Between Policy and Technology in Metaverses: Towards Seamless Avatar Interoperability Using Self-Sovereign Identity

Subjects: Metaverse; Security; PrivacyKyoto; JapanKyoto, Japan

  • Source: 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom)IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom

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Conference

Exploiting Fairness to Enhance Sensitive Attributes Reconstruction

Subjects: reconstruction attack; privacy; fairnessRaleigh; North Carolina; United States

  • Source: First IEEE Conference on Secure and Trustworthy Machine Learning ; https://hal.science/hal-03766710 ; First IEEE Conference on Secure and Trustworthy Machine Learning, Feb 2023, Raleigh, North

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Conference

Decidability of Deterministic Process Equivalence for Finitary Deduction Systems

Subjects: Cryptographic protocols; Formal methods; Privacy analysisVästerås; Sweden

  • Source: 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)28th Euromicro International Conference on Parallel, Distributed and network-based

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