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Showing 1 to 7 of 7 for “"Model Security"”.

  1. Evolving Threats and Defenses in Machine Learning: Focus on Model Inversion and Beyond

    Machine learning (ML) models are increasingly integrated into critical real-world applications, raising concerns about security, privacy, and trustworthiness. Among various emerging threats, model inversion (MI) attacks stand out due to their potential to compromise the confidentiality of training …

    vt Repository record for Evolving Threats and Defenses in Machine Learning: Focus on Model Inversion and Beyond (opens in a new tab)

  2. Converting Autoencoder Based Energy-Efficient and Secure DNN Inference on Edge Devices

    … demand for lightweight and energy-efficient models. While DNNs outperform traditional machine learning methods, their deep architectures pose challenges regarding energy consumption, latency, and computational efficiency. Despite various optimization techniques, there is still room for …

    tdl Repository record for Converting Autoencoder Based Energy-Efficient and Secure DNN Inference on Edge Devices (opens in a new tab)

  3. An Interaction-based Software-Defined Security Model and Platform to secure cloud resources

    … is in finding effective mechanisms for isolating security issues in cloud infrastructure. Isolation implies creating security boundaries for protecting cloud assets at different levels of a cloud security architecture. Building security boundaries is critical not only for recognizing security

    uts Repository record for An Interaction-based Software-Defined Security Model and Platform to secure cloud resources (opens in a new tab)

  4. Remedies for challenges in deep learning-based quantitative ultrasound imaging

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Remedies for challenges in deep learning-based quantitative ultrasound imaging (opens in a new tab)

  5. On Black-Box Complexity and Adaptive, Universal Composability of Cryptographic Tasks

    … protocols in strong and realistic adversarial models. In this thesis, we address both of these fundamental questions. In the first part of this thesis, we present results on the black-box complexity of two basic cryptographic primitives: non-malleable encryption and optimally-fair coin tossing. …

    columbia-diss Repository record for On Black-Box Complexity and Adaptive, Universal Composability of Cryptographic Tasks (opens in a new tab)

  6. A Security Operation Center Maturity Model (SOC-MM) in the Context of Newly Emerging Cyber Threats

    … these malicious attacks is establishing of a security operations center (SOC). SOCs are responsible for protecting mission-critical information, as well as detecting and responding to attacks; they are also tasked with planning and creating contingency procedures to meet not only known …

    claremont Repository record for A Security Operation Center Maturity Model (SOC-MM) in the Context of Newly Emerging Cyber Threats (opens in a new tab)