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Jeyavijayan Rajendran

Jeyavijayan Rajendran

D-Index & Metrics

Computer Science

D-Index
42
Citations
8536
World Ranking
8309
National Ranking
3562

Electronics and Electrical Engineering

D-Index
42
Citations
8533
World Ranking
4054
National Ranking
1448

Overview

Jeyavijayan Rajendran is affiliated with Texas A&M University in the United States. Their research spans multiple domains within computer science, with a focus on hardware security, artificial intelligence, and signal processing.

The scientist's publication record includes contributions to highly specialized topics in computing and engineering. Their recent papers demonstrate diverse interests in security and hardware verification, including:

  • "(Security) Assertions by Large Language Models," 2024, IEEE Transactions on Information Forensics and Security
  • "TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities," 2022, arXiv (Cornell University)
  • "Security of Cloud FPGAs: A Survey," 2020, arXiv (Cornell University)
  • "ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning," 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • "DETERRENT," 2022, Proceedings of the 59th ACM/IEEE Design Automation Conference

Rajendran frequently publishes in prominent outlets such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Design and Test
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Their collaborative work includes repeated partnerships with several researchers, highlighting ongoing research teams and networks. Notable frequent co-authors are:

  • Vasudev Gohil
  • Rahul Kande
  • Ahmad-Reza Sadeghi
  • Satwik Patnaik
  • Ramesh Karri

In terms of research domains, Rajendran's contributions are primarily situated within computer science. They have a particular focus on these subfields:

  • Artificial Intelligence
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Rajendran's main research topics include:

  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Advanced Malware Detection Techniques
  • Adversarial Robustness in Machine Learning
  • Security and Verification in Computing
  • Integrated Circuits and Semiconductor Failure Analysis
  • Network Security and Intrusion Detection
  • Neuroscience and Neural Engineering

Best Publications

  • Trustworthy Hardware: Identifying and Classifying Hardware Trojans

    R Karri;J Rajendran;K Rosenfeld;M Tehranipoor

  • Security analysis of logic obfuscation

    Jeyavijayan Rajendran;Youngok Pino;Ozgur Sinanoglu;Ramesh Karri

  • Fault Analysis-Based Logic Encryption

    Jeyavijayan Rajendran;Huan Zhang;Chi Zhang;Garrett S. Rose

  • Security analysis of integrated circuit camouflaging

    Jeyavijayan Rajendran;Michael Sam;Ozgur Sinanoglu;Ramesh Karri

  • SARLock: SAT attack resistant logic locking

    Muhammad Yasin;Bodhisatwa Mazumdar;Jeyavijayan J V Rajendran;Ozgur Sinanoglu

  • On Improving the Security of Logic Locking

    Muhammad Yasin;Jeyavijayan Jv Rajendran;Ozgur Sinanoglu;Ramesh Karri

  • Provably-Secure Logic Locking: From Theory To Practice

    Muhammad Yasin;Abhrajit Sengupta;Mohammed Thari Nabeel;Mohammed Ashraf

  • Removal Attacks on Logic Locking and Camouflaging Techniques

    Muhammad Yasin;Bodhisatwa Mazumdar;Ozgur Sinanoglu;Jeyavijayan Rajendran

  • Is split manufacturing secure

    Jeyavijayan Rajendran;Ozgur Sinanoglu;Ramesh Karri

  • Security analysis of Anti-SAT

    Muhammad Yasin;Bodhisatwa Mazumdar;Ozgur Sinanoglu;Jeyavijayan Rajendran

  • Logic encryption: a fault analysis perspective

    Jeyavijayan Rajendran;Youngok Pino;Ozgur Sinanoglu;Ramesh Karri

  • Detecting malicious modifications of data in third-party intellectual property cores

    Jeyavijayan Rajendran;Vivekananda Vedula;Ramesh Karri

  • Leveraging Memristive Systems in the Construction of Digital Logic Circuits

    G. S. Rose;J. Rajendran;H. Manem;R. Karri

  • Shielding Heterogeneous MPSoCs From Untrustworthy 3PIPs Through Security- Driven Task Scheduling

    Chen Liu;Jeyavijayan Rajendran;Chengmo Yang;Ramesh Karri

  • Hardware security: threat models and metrics

    M. Rostami;F. Koushanfar;J. Rajendran;R. Karri

  • Sneak-Path Testing of Crossbar-Based Nonvolatile Random Access Memories

    Sachhidh Kannan;Jeyavijayan Rajendran;Ramesh Karri;Ozgur Sinanoglu

  • Trustworthy Hardware: Trojan Detection and Design-for-Trust Challenges

    M. Tehranipoor;H. Salmani;Xuehui Zhang;Xiaoxiao Wang

  • Nano Meets Security: Exploring Nanoelectronic Devices for Security Applications

    Jeyavijayan Rajendran;Ramesh Karri;James B. Wendt;Miodrag Potkonjak

  • Nano-PPUF: A Memristor-Based Security Primitive

    Jeyavijayan Rajendran;Garrett S. Rose;Ramesh Karri;Miodrag Potkonjak

  • What to Lock?: Functional and Parametric Locking

    Muhammad Yasin;Abhrajit Sengupta;Benjamin Carrion Schafer;Yiorgos Makris

Frequent Co-Authors

Ramesh Karri
Ramesh Karri New York University
Garrett S. Rose
Garrett S. Rose University of Tennessee at Knoxville
Jiang Hu
Jiang Hu Texas A&M University
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Yiorgos Makris
Yiorgos Makris The University of Texas at Dallas
Edgar Sanchez-Sinencio
Edgar Sanchez-Sinencio Texas A&M University
Ankur Srivastava
Ankur Srivastava University of Maryland, College Park
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Qing Wu
Qing Wu United States Air Force Research Laboratory
Swarup Bhunia
Swarup Bhunia University of Florida

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