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Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning. (arXiv:2203.17044v1 [cs.CR])

2 min read

Security World News

Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning. (arXiv:2203.17044v1 [cs.CR])

admin April 1, 2022

With the increasing adoption of data-hungry machine learning algorithms, personal data privacy has emerged as one of...

Differentially Private Federated Learning via Reconfigurable Intelligent Surface. (arXiv:2203.17028v1 [eess.SP])

1 min read

Security World News

Differentially Private Federated Learning via Reconfigurable Intelligent Surface. (arXiv:2203.17028v1 [eess.SP])

admin April 1, 2022

Federated learning (FL), as a disruptive machine learning paradigm, enables the collaborative training of a global model...

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

1 min read

Security World News

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

admin April 1, 2022

A substantial body of empirical work documents the lack of robustness in deep learning models to adversarial...

Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning. (arXiv:2203.17044v1 [cs.CR])

2 min read

Security World News

Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning. (arXiv:2203.17044v1 [cs.CR])

admin April 1, 2022

With the increasing adoption of data-hungry machine learning algorithms, personal data privacy has emerged as one of...

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

1 min read

Security World News

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

admin April 1, 2022

A substantial body of empirical work documents the lack of robustness in deep learning models to adversarial...

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

1 min read

Security World News

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

admin April 1, 2022

A substantial body of empirical work documents the lack of robustness in deep learning models to adversarial...

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

1 min read

Security World News

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

admin April 1, 2022

Machine Learning (ML) has automated a multitude of our day-to-day decision making domains such as education, employment...

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

1 min read

Security World News

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

admin April 1, 2022

Machine Learning (ML) has automated a multitude of our day-to-day decision making domains such as education, employment...

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

1 min read

Security World News

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

admin April 1, 2022

Machine Learning (ML) has automated a multitude of our day-to-day decision making domains such as education, employment...

The Sum of Its Parts: Analysis of Federated Byzantine Agreement Systems. (arXiv:2002.08101v4 [cs.DC] UPDATED)

1 min read

Security World News

The Sum of Its Parts: Analysis of Federated Byzantine Agreement Systems. (arXiv:2002.08101v4 [cs.DC] UPDATED)

admin April 1, 2022

Federated Byzantine Agreement Systems (FBASs) are a fascinating new paradigm in the context of consensus protocols. Originally...

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Security World News

Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning. (arXiv:2203.17044v1 [cs.CR])

Differentially Private Federated Learning via Reconfigurable Intelligent Surface. (arXiv:2203.17028v1 [eess.SP])

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning. (arXiv:2203.17044v1 [cs.CR])

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

Adversarial Examples in Random Neural Networks with General Activations. (arXiv:2203.17209v1 [cs.LG])

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

Model Agnostic Defence against Backdoor Attacks in Machine Learning. (arXiv:1908.02203v3 [cs.LG] UPDATED)

The Sum of Its Parts: Analysis of Federated Byzantine Agreement Systems. (arXiv:2002.08101v4 [cs.DC] UPDATED)

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