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Srinivas Devadas

Srinivas Devadas

D-Index & Metrics

Computer Science

D-Index
109
Citations
44622
World Ranking
246
National Ranking
136

Electronics and Electrical Engineering

D-Index
94
Citations
34982
World Ranking
251
National Ranking
127

Research.com Recognitions

  • 2017 - W. Wallace McDowell Award, IEEE Computer Society For fundamental contributions that have shaped the field of secure hardware, impacting circuits, microprocessors, and systems.
  • 2014 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering work in secure hardware, including the invention of Physical Unclonable Functions and single-chip secure processor architectures
  • 2014 - ACM Fellow For contributions to secure and energy-efficient hardware.

Overview

Srinivas Devadas is affiliated with MIT in the United States and focuses their research in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, and Statistics and Probability.

The main topics addressed in their publications include:

  • Cryptography and Data Security
  • Privacy-Preserving Technologies in Data
  • Distributed systems and fault tolerance
  • Adversarial Robustness in Machine Learning
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Data Storage Technologies
  • Chaos-based Image/Signal Encryption

Srinivas Devadas has co-authored frequently with several researchers, including:

  • Hanshen Xiao
  • Sacha Servan-Schreiber
  • Daniel Sánchez
  • Nikola Samardzic
  • Simon Langowski

Their publications have appeared in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE Symposium on Security and Privacy (SP)
  • Proceedings of the ACM on Programming Languages
  • IEEE Robotics and Automation Letters
  • Proceedings of the VLDB Endowment

Selected recent papers include:

  • Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA, 2021, IEEE Robotics and Automation Letters
  • Private Approximate Nearest Neighbor Search with Sublinear Communication, 2022, 2022 IEEE Symposium on Security and Privacy (SP)
  • Taurus, 2020, Proceedings of the VLDB Endowment
  • A Tensor Compiler with Automatic Data Packing for Simple and Efficient Fully Homomorphic Encryption, 2024, Proceedings of the ACM on Programming Languages
  • ShorTor: Improving Tor Network Latency via Multi-hop Overlay Routing, 2022, 2022 IEEE Symposium on Security and Privacy (SP)

Srinivas Devadas has received several awards, including:

  • W. Wallace McDowell Award, IEEE Computer Society, 2017, for fundamental contributions that have shaped the field of secure hardware, impacting circuits, microprocessors, and systems
  • ACM Fellow, 2014, for contributions to secure and energy-efficient hardware
  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society, 2014, for pioneering work in secure hardware, including the invention of Physical Unclonable Functions and single-chip secure processor architectures

Best Publications

  • Physical unclonable functions for device authentication and secret key generation

    G. Edward Suh;Srinivas Devadas

  • Silicon physical random functions

    Blaise Gassend;Dwaine Clarke;Marten van Dijk;Srinivas Devadas

  • Physical Unclonable Functions and Applications: A Tutorial

    Charles Herder;Meng-Day Yu;Farinaz Koushanfar;Srinivas Devadas

  • Intel SGX Explained.

    Victor Costan;Srinivas Devadas

  • Extracting secret keys from integrated circuits

    Daihyun Lim;J.W. Lee;B. Gassend;G.E. Suh

  • Modeling Attacks on Physical Unclonable Functions.

    Ulrich Rührmair;Frank Sehnke;Jan Sölter;Gideon Dror

  • Path ORAM: An Extremely Simple Oblivious RAM Protocol.

    Emil Stefanov;Marten van Dijk;Elaine Shi;Christopher W. Fletcher

  • A technique to build a secret key in integrated circuits for identification and authentication applications

    J.W. Lee;Daihyun Lim;B. Gassend;G.E. Suh

  • Secure program execution via dynamic information flow tracking

    G. Edward Suh;Jae W. Lee;David Zhang;Srinivas Devadas

  • AEGIS: architecture for tamper-evident and tamper-resistant processing

    G. Edward Suh;Dwaine Clarke;Blaise Gassend;Marten van Dijk

  • Estimation of average switching activity in combinational and sequential circuits

    A. Ghosh;S. Devadas;K. Keutzer;J. White

  • PUF Modeling Attacks on Simulated and Silicon Data.

    Ulrich Rührmair;Jan Sölter;Frank Sehnke;Xiaolin Xu

  • Dynamic Partitioning of Shared Cache Memory

    G. E. Suh;L. Rudolph;S. Devadas

  • Controlled physical random functions

    B. Gassend;D. Clarke;M. van Dijk;S. Devadas

  • Sanctum: Minimal Hardware Extensions for Strong Software Isolation

    Victor Costan;Ilia A. Lebedev;Srinivas Devadas

  • Precomputation-based sequential logic optimization for low power

    M. Alidina;J. Monteiro;S. Devadas;A. Ghosh

  • Secure and Robust Error Correction for Physical Unclonable Functions

    Meng-Day Yu;S. Devadas

  • A Survey of Optimization Techniques Targeting Low Power VLSI Circuits

    Srinivas Devadas;Sharad Malik

  • ISDL: an instruction set description language for retargetability

    George Hadjiyiannis;Silvina Hanono;Srinivas Devadas

  • Design and Implementation of PUF-Based "Unclonable" RFID ICs for Anti-Counterfeiting and Security Applications

    S. Devadas;E. Suh;S. Paral;R. Sowell

  • Path ORAM: An Extremely Simple Oblivious RAM Protocol

    Emil Stefanov;Marten van Dijk;Elaine Shi;T-H. Hubert Chan

  • Physical Unclonable Functions and Applications: A Tutorial This paper is a tutorial on ongoing work in physical-disorder-based security, security analysis, and implementation choices.

    Charles Herder;Farinaz Koushanfar;Srinivas Devadas

Frequent Co-Authors

Marten van Dijk
Marten van Dijk University of Connecticut
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
A.R. Newton
A.R. Newton University of California, Berkeley
G. Edward Suh
G. Edward Suh Cornell University
Pranav Ashar
Pranav Ashar NEC (United States)
Sharad Malik
Sharad Malik Princeton University
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Elaine Shi
Elaine Shi Carnegie Mellon University
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego

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