يعرض 1 - 10 نتائج من 34 نتيجة بحث عن '"Hashemi, Hanieh"', وقت الاستعلام: 0.87s تنقيح النتائج
  1. 1
    مؤتمر
    Differentially Private Heavy Hitter Detection using Federated Analytics

    المؤلفون: Chadha, Karan, Chen, Junye, Duchi, John, Feldman, Vitaly, Hashemi, Hanieh, Javidbakht, Omid, McMillan, Audra, Talwar, Kunal

    المصدر: 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) SATML Secure and Trustworthy Machine Learning (SaTML), 2024 IEEE Conference on. :512-533 Apr, 2024

    Relation: 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

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  2. 2
    تقرير
    Differentially Private Heavy Hitter Detection using Federated Analytics

    المؤلفون: Chadha, Karan, Chen, Junye, Duchi, John, Feldman, Vitaly, Hashemi, Hanieh, Javidbakht, Omid, McMillan, Audra, Talwar, Kunal

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Cryptography and Security

    URL الوصول: http://arxiv.org/abs/2307.11749

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  3. 3
    مؤتمر
    Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition

    المؤلفون: Feng, Tiantian, Hashemi, Hanieh, Annavaram, Murali, Narayanan, Shrikanth S.

    المصدر: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2022 - 2022 IEEE International Conference on. :7702-7706 May, 2022

    Relation: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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  4. 4
    مؤتمر
    Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning

    المؤلفون: Tang, Tingting, Ali, Ramy E., Hashemi, Hanieh, Gangwani, Tynan, Avestimehr, Salman, Annavaram, Murali

    المصدر: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) IPDPS Parallel and Distributed Processing Symposium (IPDPS), 2022 IEEE International. :628-638 May, 2022

    Relation: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

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  5. 5
    تقرير
    Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems

    المؤلفون: Hashemi, Hanieh, Xiong, Wenjie, Ke, Liu, Maeng, Kiwan, Annavaram, Murali, Suh, G. Edward, Lee, Hsien-Hsin S.

    مصطلحات موضوعية: Computer Science - Computational Engineering, Finance, and Science, Computer Science - Cryptography and Security, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2212.06264

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  6. 6
    مؤتمر
    MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage

    المؤلفون: Matam, Kiran Kumar, Hashemi, Hanieh, Annavaram, Murali

    المصدر: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS) IPDPS Parallel and Distributed Processing Symposium (IPDPS), 2021 IEEE International. :245-255 May, 2021

    Relation: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

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  7. 7
    تقرير
    DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware

    المؤلفون: Hashemi, Hanieh, Wang, Yongqin, Annavaram, Murali

    مصطلحات موضوعية: Computer Science - Cryptography and Security, Computer Science - Hardware Architecture, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2207.00083

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  8. 8
    تقرير
    Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

    المؤلفون: Feng, Tiantian, Hashemi, Hanieh, Hebbar, Rajat, Annavaram, Murali, Narayanan, Shrikanth S.

    مصطلحات موضوعية: Computer Science - Cryptography and Security, Computer Science - Machine Learning, Computer Science - Multimedia

    URL الوصول: http://arxiv.org/abs/2112.13416

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  9. 9
    تقرير
    Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning

    المؤلفون: Tang, Tingting, Ali, Ramy E., Hashemi, Hanieh, Gangwani, Tynan, Avestimehr, Salman, Annavaram, Murali

    مصطلحات موضوعية: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Cryptography and Security, Computer Science - Information Theory, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2107.12958

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  10. 10
    تقرير
    Byzantine-Robust and Privacy-Preserving Framework for FedML

    المؤلفون: Hashemi, Hanieh, Wang, Yongqin, Guo, Chuan, Annavaram, Murali

    المصدر: Security and Safety in Machine Learning Systems Workshop in ICLR 2021

    مصطلحات موضوعية: Computer Science - Cryptography and Security, Computer Science - Hardware Architecture, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2105.02295

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