Satwik Kundu

Orcid: 0000-0002-2140-6486

According to our database1, Satwik Kundu authored at least 15 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses.
CoRR, June, 2025

STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2025

Adversarial Data Poisoning Attack on Quantum Machine Learning in the NISQ Era.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

Inverse-Transpilation: Reverse-Engineering Quantum Compiler Optimization Passes from Circuit Snapshots.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2024
Adversarial Poisoning Attack on Quantum Machine Learning Models.
CoRR, 2024

Security Concerns in Quantum Machine Learning as a Service.
CoRR, 2024

SoK Paper: Security Concerns in Quantum Machine Learning as a Service.
Proceedings of the 13th International Workshop on Hardware and Architectural Support for Security and Privacy, 2024

Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023
WEPRO: Weight Prediction for Efficient Optimization of Hybrid Quantum-Classical Algorithms.
CoRR, 2023

Knowledge Distillation in Quantum Neural Network Using Approximate Synthesis.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
Quantum Machine Learning for Material Synthesis and Hardware Security.
CoRR, 2022

Special Session: On the Reliability of Conventional and Quantum Neural Network Hardware.
Proceedings of the 40th IEEE VLSI Test Symposium, 2022

Quantum Machine Learning for Material Synthesis and Hardware Security (Invited Paper).
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021


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