Richa Sharma

Employment

• Bennett University Assistant Professor

Education

• Atal Bihari Vajpayee Indian Institute of Information Technology and Management Ph.D. Scholar
  2017 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Adversarial Label Flipping Attack on Supervised Machine Learning-Based HT Detection Systems
  Proceedings - IEEE International Symposium on Circuits and Systems 2024 DOI: 10.1109/ISCAS58744.2024.10557844
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• Enhancing Breast Cancer Prediction with XAI-Enabled Boosting Algorithms
  2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 2024 DOI: 10.1109/ICCCNT61001.2024.10723843
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• Structural and SCOAP Features Based Approach for Hardware Trojan Detection Using SHAP and Light Gradient Boosting Model
  Journal of Electronic Testing 2023 DOI: 10.1007/s10836-023-06080-9
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• Structural and SCOAP features based approach for hardware Trojan detection using SHAP and Light Gradient Boosting model
  2023 DOI: 10.36227/techrxiv.21806022
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• Structural and SCOAP features based approach for hardware Trojan detection using SHAP and Light Gradient Boosting model
  2023 DOI: 10.36227/techrxiv.21806022.v1
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• Novel Label Flipping Dataset Poisoning Attack Against ML-Based HT Detection Systems
  Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023 2023 DOI: 10.1109/APCCAS60141.2023.00029
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• A CatBoost Based Approach to Detect Label Flipping Poisoning Attack in Hardware Trojan Detection Systems
  Journal of Electronic Testing 2022 DOI: 10.1007/s10836-022-06035-6
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• A new hardware Trojan detection technique using deep convolutional neural network
  Integration 2021 DOI: 10.1016/j.vlsi.2021.03.001
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• A Few Shot Learning based Approach for Hardware Trojan Detection using Deep Siamese CNN
  Proceedings of the IEEE International Conference on VLSI Design 2021 DOI: 10.1109/VLSID51830.2021.00033
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• A New Hardware Trojan Detection Technique using Class Weighted XGBoost Classifier
  2020 24th International Symposium on VLSI Design and Test, VDAT 2020 2020 DOI: 10.1109/VDAT50263.2020.9190603
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