Tejas Kannan

Orcid: 0009-0004-9372-9622

According to our database1, Tejas Kannan authored at least 4 papers between 2021 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Prediction Privacy in Distributed Multi-Exit Neural Networks: Vulnerabilities and Solutions.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Protecting adaptive sampling from information leakage on low-power sensors.
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021
Budget RNNs: Multi-Capacity Neural Networks to Improve In-Sensor Inference Under Energy Budgets.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021


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