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A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR]) Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. (arXiv:2303.13211v1 [cs.CR]) Don’t Peek at My Chart: Privacy-preserving Visualization for Mobile Devices. (arXiv:2303.13307v1 [cs.HC]) A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR]) Adversarial Robustness of Learning-based Static Malware Classifiers. (arXiv:2303.13372v1 [cs.CR])
Security World News

A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])

Mar 24, 2023 admin
Security World News

Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. (arXiv:2303.13211v1 [cs.CR])

Mar 24, 2023 admin
Security World News

Don’t Peek at My Chart: Privacy-preserving Visualization for Mobile Devices. (arXiv:2303.13307v1 [cs.HC])

Mar 24, 2023 admin
Security World News

A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])

Mar 24, 2023 admin
Security World News

Adversarial Robustness of Learning-based Static Malware Classifiers. (arXiv:2303.13372v1 [cs.CR])

Mar 24, 2023 admin
Security World News

A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])

Mar 24, 2023 admin
Security World News

Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. (arXiv:2303.13211v1 [cs.CR])

Mar 24, 2023 admin
Security World News

Don’t Peek at My Chart: Privacy-preserving Visualization for Mobile Devices. (arXiv:2303.13307v1 [cs.HC])

Mar 24, 2023 admin
Security World News

A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])

Mar 24, 2023 admin
Security World News

A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])

Mar 24, 2023 admin

The detection of energy thefts is vital for the safety of the whole smart grid system. However, the detection alone is not enough since energy thefts can crucially affect the…

Security World News

Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. (arXiv:2303.13211v1 [cs.CR])

Mar 24, 2023 admin

In this paper we investigate the frequency sensitivity of Deep Neural Networks (DNNs) when presented with clean samples versus poisoned samples. Our analysis shows significant disparities in frequency sensitivity between…

Security World News

Don’t Peek at My Chart: Privacy-preserving Visualization for Mobile Devices. (arXiv:2303.13307v1 [cs.HC])

Mar 24, 2023 admin

Data visualizations have been widely used on mobile devices like smartphones for various tasks (e.g., visualizing personal health and financial data), making it convenient for people to view such data…

Security World News

A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])

Mar 24, 2023 admin

The detection of energy thefts is vital for the safety of the whole smart grid system. However, the detection alone is not enough since energy thefts can crucially affect the…

Security World News

Adversarial Robustness of Learning-based Static Malware Classifiers. (arXiv:2303.13372v1 [cs.CR])

Mar 24, 2023 admin

Malware detection has long been a stage for an ongoing arms race between malware authors and anti-virus systems. Solutions that utilize machine learning (ML) gain traction as the scale of…

Security World News

Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. (arXiv:2303.13211v1 [cs.CR])

Mar 24, 2023 admin

In this paper we investigate the frequency sensitivity of Deep Neural Networks (DNNs) when presented with clean samples versus poisoned samples. Our analysis shows significant disparities in frequency sensitivity between…

Security World News

A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. (arXiv:2106.06312v4 [cs.LG] UPDATED)

Mar 24, 2023 admin

Federated learning is a learning paradigm to enable collaborative learning across different parties without revealing raw data. Notably, vertical federated learning (VFL), where parties share the same set of samples…

Security World News

Adversarial Robustness of Learning-based Static Malware Classifiers. (arXiv:2303.13372v1 [cs.CR])

Mar 24, 2023 admin

Malware detection has long been a stage for an ongoing arms race between malware authors and anti-virus systems. Solutions that utilize machine learning (ML) gain traction as the scale of…

Security World News

Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. (arXiv:2303.13211v1 [cs.CR])

Mar 24, 2023 admin

In this paper we investigate the frequency sensitivity of Deep Neural Networks (DNNs) when presented with clean samples versus poisoned samples. Our analysis shows significant disparities in frequency sensitivity between…

Security World News

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. (arXiv:2303.13408v1 [cs.CL])

Mar 24, 2023 admin

To detect the deployment of large language models for malicious use cases (e.g., fake content creation or academic plagiarism), several approaches have recently been proposed for identifying AI-generated text via…

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Recent Posts
  • A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])
  • Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. (arXiv:2303.13211v1 [cs.CR])
  • Don’t Peek at My Chart: Privacy-preserving Visualization for Mobile Devices. (arXiv:2303.13307v1 [cs.HC])
  • A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])
  • Adversarial Robustness of Learning-based Static Malware Classifiers. (arXiv:2303.13372v1 [cs.CR])
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    Security World News

    A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])

    Mar 24, 2023 admin
    Security World News

    Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. (arXiv:2303.13211v1 [cs.CR])

    Mar 24, 2023 admin
    Security World News

    Don’t Peek at My Chart: Privacy-preserving Visualization for Mobile Devices. (arXiv:2303.13307v1 [cs.HC])

    Mar 24, 2023 admin
    Security World News

    A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids. (arXiv:2303.13204v1 [cs.CR])

    Mar 24, 2023 admin

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