Výsledky vyhledávání - "Proceedings of the ... ACM Conference on Computer and Communications Security"

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  1. 1

    Secure Outsourced Matrix Computation and Application to Neural Networks Autor Jiang, Xiaoqian, Kim, Miran, Lauter, Kristin, Song, Yongsoo

    ISSN: 1543-7221, 1543-7221
    Vydáno: United States 01.10.2018
    “…Homomorphic Encryption (HE) is a powerful cryptographic primitive to address privacy and security issues in outsourcing computation on sensitive data to an…”
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  2. 2

    Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX Autor Wang, Wenhao, Chen, Guoxing, Pan, Xiaorui, Zhang, Yinqian, Wang, XiaoFeng, Bindschaedler, Vincent, Tang, Haixu, Gunter, Carl A

    ISSN: 1543-7221, 1543-7221
    Vydáno: United States 30.10.2017
    “…Side-channel risks of Intel's SGX have recently attracted great attention. Under the spotlight is the newly discovered page-fault attack, in which an OS-level…”
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  3. 3

    PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps Autor Liu, Ruixuan, Wang, Tianhao, Cao, Yang, Xiong, Li

    ISSN: 1543-7221, 1543-7221
    Vydáno: United States 01.10.2024
    “…The pre-training and fine-tuning paradigm has demonstrated its effectiveness and has become the standard approach for tailoring language models to various…”
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  4. 4

    Cross-silo Federated Learning with Record-level Personalized Differential Privacy Autor Liu, Junxu, Lou, Jian, Xiong, Li, Liu, Jinfei, Meng, Xiaofeng

    ISSN: 1543-7221, 1543-7221
    Vydáno: United States 01.10.2024
    “…Federated learning (FL) enhanced by differential privacy has emerged as a popular approach to better safeguard the privacy of client-side data by protecting…”
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  5. 5

    WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data Autor Saleheen, Nazir, Ullah, Md Azim, Chakraborty, Supriyo, Ones, Deniz S, Srivastava, Mani, Kumar, Santosh

    ISSN: 1543-7221, 1543-7221
    Vydáno: United States 01.11.2021
    “…Public release of wrist-worn motion sensor data is growing. They enable and accelerate research in developing new algorithms to passively track daily…”
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  6. 6

    The Danger of Minimum Exposures: Understanding Cross-App Information Leaks on iOS through Multi-Side-Channel Learning Autor Wang, Zihao, Guan, Jiale, Wang, XiaoFeng, Wang, Wenhao, Xing, Luyi, Alharbi, Fares

    ISSN: 1543-7221, 1543-7221
    Vydáno: United States 01.11.2023
    “…Research on side-channel leaks has long been focusing on the information exposure from a single channel (memory, network traffic, power, etc.). Less studied is…”
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  7. 7

    How to Accurately and Privately Identify Anomalies Autor Asif, Hafiz, Papakonstantinou, Periklis A, Vaidya, Jaideep

    ISSN: 1543-7221, 1543-7221
    Vydáno: United States 01.11.2019
    “…Identifying anomalies in data is central to the advancement of science, national security, and finance. However, privacy concerns restrict our ability to…”
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  8. 8

    Towards a framework for evaluating certificate status information mechanisms Autor Iliadis, John, Gritzalis, Stefanos, Spinellis, Diomidis, De Cock, Danny, Preneel, Bart, Gritzalis, Dimitris

    ISSN: 0140-3664, 1873-703X
    Vydáno: Elsevier B.V 01.10.2003
    Vydáno v Computer communications (01.10.2003)
    “…A wide spectrum of certificate revocation mechanisms is currently in use. A number of them have been proposed by standardisation bodies, while some others have…”
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