IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid-Reference-Cited by-同舟云学术

IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Ardito Carmelo¹,Deldjoo Yashar¹,Di Noia Tommaso¹,Di Sciascio Eugenio¹,Nazary Fatemeh¹

Affiliation:

1. Polytechnic University of Bari, Bari, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557612

Reference33 articles.

1. A New Harmony Search Approach for Optimal Wavelets Applied to Fault Classification

2. A Robust Fault Detection and Discrimination Technique for Transmission Lines

3. Vito Walter Anelli , Yashar Deldjoo , Tommaso DiNoia , and Felice Antonio Merra . 2022. Adversarial recommender systems: Attack, defense, and advances . In Recommender systems handbook . Springer , 335--379. Vito Walter Anelli, Yashar Deldjoo, Tommaso DiNoia, and Felice Antonio Merra. 2022. Adversarial recommender systems: Attack, defense, and advances. In Recommender systems handbook. Springer, 335--379.

4. Towards Effective Device-Aware Federated Learning

5. Prioritized multi-criteria federated learning

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2. Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks;IEEE Access;2024

3. FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids;Lecture Notes in Computer Science;2024