Search Results - "Ozdayi, Mustafa"

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  1. 1

    Leveraging blockchain for immutable logging and querying across multiple sites by Ozdayi, Mustafa Safa, Kantarcioglu, Murat, Malin, Bradley

    Published in BMC medical genomics (21-07-2020)
    “…Blockchain has emerged as a decentralized and distributed framework that enables tamper-resilience and, thus, practical immutability for stored data. This…”
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    Journal Article
  2. 2

    The Impact of Data Distribution on Fairness and Robustness in Federated Learning by Ozdayi, Mustafa Safa, Kantarcioglu, Murat

    “…Federated Learning (FL) is a distributed machine learning protocol that allows a set of agents to collaboratively train a model without sharing their datasets…”
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    Conference Proceeding
  3. 3

    The Impact of Data Distribution on Fairness and Robustness in Federated Learning by Ozdayi, Mustafa Safa, Kantarcioglu, Murat

    Published 29-11-2021
    “…Federated Learning (FL) is a distributed machine learning protocol that allows a set of agents to collaboratively train a model without sharing their datasets…”
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    Journal Article
  4. 4

    Achieving Competitiveness in Online Problems by Ozdayi, Mustafa Safa

    Published 08-01-2020
    “…In the setting of online algorithms, the input is initially not present but rather arrive one-by-one over time and after each input, the algorithm has to make…”
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    Journal Article
  5. 5

    Fair Machine Learning under Limited Demographically Labeled Data by Ozdayi, Mustafa Safa, Kantarcioglu, Murat, Iyer, Rishabh

    Published 03-06-2021
    “…Research has shown that, machine learning models might inherit and propagate undesired social biases encoded in the data. To address this problem, fair…”
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    Journal Article
  6. 6

    Improving Accuracy of Federated Learning in Non-IID Settings by Ozdayi, Mustafa Safa, Kantarcioglu, Murat, Iyer, Rishabh

    Published 14-10-2020
    “…Federated Learning (FL) is a decentralized machine learning protocol that allows a set of participating agents to collaboratively train a model without sharing…”
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    Journal Article
  7. 7

    Generating massive complex networks with hyperbolic geometry faster in practice by von Looz, Moritz, Ozdayi, Mustafa Safa, Laue, Soren, Meyerhenke, Henning

    “…Generative network models play an important role in algorithm development, scaling studies, network analysis, and realistic system benchmarks for graph data…”
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    Conference Proceeding
  8. 8

    Secure IoT Data Analytics in Cloud via Intel SGX by Islam, Md Shihabul, Ozdayi, Mustafa Safa, Khan, Latifur, Kantarcioglu, Murat

    “…The growing adoption of IoT devices in our daily life is engendering a data deluge, mostly private information that needs careful maintenance and secure…”
    Get full text
    Conference Proceeding
  9. 9

    Leveraging Blockchain for Immutable Logging and Querying Across Multiple Sites by Ozdayi, Mustafa Safa, Kantarcioglu, Murat, Malin, Bradley

    Published 13-01-2020
    “…Blockchain has emerged as a decentralized and distributed framework that enables tamper-resilience and, thus, practical immutability for stored data. This…”
    Get full text
    Journal Article
  10. 10

    Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning by Ozdayi, Mustafa Safa, Peris, Charith, FitzGerald, Jack, Dupuy, Christophe, Majmudar, Jimit, Khan, Haidar, Parikh, Rahil, Gupta, Rahul

    Published 19-05-2023
    “…Large Language Models (LLMs) are known to memorize significant portions of their training data. Parts of this memorized content have been shown to be…”
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    Journal Article
  11. 11

    BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture by Desai, Harsh Bimal, Ozdayi, Mustafa Safa, Kantarcioglu, Murat

    Published 14-10-2020
    “…Federated Learning (FL) is a distributed, and decentralized machine learning protocol. By executing FL, a set of agents can jointly train a model without…”
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    Journal Article
  12. 12

    Secure IoT Data Analytics in Cloud via Intel SGX by Islam, Md Shihabul, Ozdayi, Mustafa Safa, Khan, Latifur, Kantarcioglu, Murat

    Published 10-08-2020
    “…The growing adoption of IoT devices in our daily life is engendering a data deluge, mostly private information that needs careful maintenance and secure…”
    Get full text
    Journal Article
  13. 13

    Defending against Backdoors in Federated Learning with Robust Learning Rate by Ozdayi, Mustafa Safa, Kantarcioglu, Murat, Gel, Yulia R

    Published 07-07-2020
    “…Federated learning (FL) allows a set of agents to collaboratively train a model without sharing their potentially sensitive data. This makes FL suitable for…”
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    Journal Article
  14. 14

    Towards a Two-Tier Hierarchical Infrastructure: An Offline Payment System for Central Bank Digital Currencies by Christodorescu, Mihai, Gu, Wanyun Catherine, Kumaresan, Ranjit, Minaei, Mohsen, Ozdayi, Mustafa, Price, Benjamin, Raghuraman, Srinivasan, Saad, Muhammad, Sheffield, Cuy, Xu, Minghua, Zamani, Mahdi

    Published 14-12-2020
    “…Digital payments traditionally rely on online communications with several intermediaries such as banks, payment networks, and payment processors in order to…”
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    Journal Article
  15. 15

    Generating massive complex networks with hyperbolic geometry faster in practice by von Looz, Moritz, Özdayi, Mustafa, Laue, Sören, Meyerhenke, Henning

    Published 30-06-2016
    “…Generative network models play an important role in algorithm development, scaling studies, network analysis, and realistic system benchmarks for graph data…”
    Get full text
    Journal Article