Tejas Kannan

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

Top Topics

Adaptive Sampling

Noise Filtering

Information Leakage

Recently Developed

Top Venues

Publications

Tejas Kannan, Nick Feamster, Henry Hoffmann
Prediction Privacy in Distributed Multi-Exit Neural Networks: Vulnerabilities and Solutions. CCS (2023)
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker, Tejas Kannan, Nathan Earnest, Ali Javadi-Abhari, Henry Hoffmann, Frederic T. Chong
Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET. ASPLOS (2) (2023)
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker, Tejas Kannan, Nathan Earnest, Ali Javadi-Abhari, Henry Hoffmann, Frederic T. Chong
Navigating the dynamic noise landscape of variational quantum algorithms with QISMET. CoRR (2022)
Tejas Kannan, Henry Hoffmann
Protecting adaptive sampling from information leakage on low-power sensors. ASPLOS (2022)
Tejas Kannan, Henry Hoffmann
Budget RNNs: Multi-Capacity Neural Networks to Improve In-Sensor Inference Under Energy Budgets. RTAS (2021)