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Muhammad Akbar Husnoo
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2020 – today
- 2024
- [j5]Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
A Secure Federated Learning Framework for Residential Short-Term Load Forecasting. IEEE Trans. Smart Grid 15(2): 2044-2055 (2024) - [i6]Muhammad Akbar Husnoo, Adnan Anwar, Md Enamul Haque, Abdun Naser Mahmood:
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach. CoRR abs/2407.15879 (2024) - 2023
- [j4]Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
False data injection threats in active distribution systems: A comprehensive survey. Future Gener. Comput. Syst. 140: 344-364 (2023) - [j3]Arash Shabanpour, Ziwei Hou, Muhammad Akbar Husnoo, Khanh Linh Nguyen, John Yearwood, Nayyar Abbas Zaidi:
Aspect-based automated evaluation of dialogues. Knowl. Based Syst. 279: 110901 (2023) - [c4]Muhammad Akbar Husnoo, Adnan Anwar, Robin Doss, Nasser Hosseinzadeh:
Towards Robust Misbehavior Detection in Power Control Systems: A Gradient Quantization Approach. ARTMAN@CCS 2023: 29-36 - [c3]Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda, Nasser Hosseinzadeh:
POSTER: A Semi-asynchronous Federated Intrusion Detection Framework for Power Systems. AsiaCCS 2023: 1019-1021 - [c2]Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Robin Doss, Biplab Sikdar:
Misbehaviour Detection for Smart Grids using a Privacy-centric and Computationally Efficient Federated Learning Approach. GLOBECOM 2023: 2269-2274 - [c1]Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination. INFOCOM Workshops 2023: 1-6 - [i5]Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination. CoRR abs/2303.16956 (2023) - [i4]Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination. CoRR abs/2304.03640 (2023) - 2022
- [i3]Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers. CoRR abs/2203.00219 (2022) - [i2]Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
A Secure Federated Learning Framework for Residential Short Term Load Forecasting. CoRR abs/2209.14547 (2022) - 2021
- [j2]Muhammad Akbar Husnoo, Adnan Anwar, Ripon K. Chakrabortty, Robin Doss, Mike Ryan:
Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey. IEEE Access 9: 153276-153304 (2021) - [j1]Muhammad Akbar Husnoo, Adnan Anwar:
Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems. Ad Hoc Networks 122: 102627 (2021) - [i1]Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey. CoRR abs/2111.14251 (2021)
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last updated on 2024-08-20 20:31 CEST by the dblp team
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