Sajjan G. Shiva

◀ ▶ joint publications with Bhargavi Krishnamurthy

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Publications

2024
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Saikat Das, Bhargavi Krishnamurthy, Raktim Ranjan Das, Sajjan G. Shiva:
State of the art: Security Testing of Machine Learning Development Systems. CCWC 2024: 534-540
2023
[c55]
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Bhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das:
Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With Explainability. AIIoT 2023: 210-215
[c53]
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  - conf/isncc/HossainDKS23
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Mazharul Hossain, Saikat Das, Bhargavi Krishnamurthy, Sajjan G. Shiva:
Explainability of Artificial Intelligence Systems: A Survey. ISNCC 2023: 1-6
2022
[c52]
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Bhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das:
MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing. AIIoT 2022: 84-90
[c51]
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Bhargavi Krishnamurthy, Sajjan G. Shiva:
Man-in-the-Middle attack Explainer for Fog computing using Soft Actor Critic Q-Learning Approach. AIIoT 2022: 100-105
[c50]
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Bhargavi Krishnamurthy, Sajjan G. Shiva:
Energy Efficient Double Critic Deep Deterministic Policy Gradient Framework for Fog Computing. AIIoT 2022: 521-527
[c49]
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Bhargavi Krishnamurthy, Sajjan G. Shiva:
Scalable Hindsight Experience Replay based Q-learning Framework with Explainability for Big Data Applications in Fog Computing. CCWC 2022: 138-144

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