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Karthik Pattabiraman

Karthik Pattabiraman

D-Index & Metrics

Computer Science

D-Index
40
Citations
6229
World Ranking
9350
National Ranking
369

Research.com Recognitions

  • 2019 - ACM Senior Member

Overview

Karthik Pattabiraman is affiliated with the University of British Columbia in Canada and focuses on research within the fields of Computer Science and Engineering. Their work spans multiple subfields including Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, and Software.

The scientist's research themes revolve around main topics such as Adversarial Robustness in Machine Learning, Radiation Effects in Electronics, Security and Verification in Computing, Advanced Malware Detection Techniques, Smart Grid Security and Resilience, Software Reliability and Analysis Research, and Anomaly Detection Techniques and Applications.

Recent publications exemplify the diversity and focus of their research:

  • Stealthy Attacks against Robotic Vehicles Protected by Control-based Intrusion Detection Techniques, 2021, Digital Threats Research and Practice
  • An Empirical Study of the Impact of Single and Multiple Bit-Flip Errors in Programs, 2020, IEEE Transactions on Dependable and Secure Computing
  • Fault Injection for TensorFlow Applications, 2022, IEEE Transactions on Dependable and Secure Computing
  • Understanding the Resilience of Neural Network Ensembles against Faulty Training Data, 2021, 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
  • ThingsMigrate: Platform-independent migration of stateful JavaScript Internet of Things applications, 2020, Software Practice and Experience

Frequent co-authors contributing to their research include:

  • Pritam Dash
  • Guanpeng Li
  • Michael Paulitsch
  • Zitao Chen
  • Abraham Chan

Publication venues where the scientist regularly publishes their work are:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • Software Practice and Experience
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • 2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

The scientist has received recognition through the award of ACM Senior Member in 2019.

Best Publications

  • Flikker: saving DRAM refresh-power through critical data partitioning

    Song Liu;Karthik Pattabiraman;Thomas Moscibroda;Benjamin G. Zorn

  • Understanding error propagation in deep learning neural network (DNN) accelerators and applications

    Guanpeng Li;Siva Kumar Sastry Hari;Michael Sullivan;Timothy Tsai

  • How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection

    Asem Ghaleb;Karthik Pattabiraman

  • Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults

    Jiesheng Wei;Anna Thomas;Guanpeng Li;Karthik Pattabiraman

  • Mining questions asked by web developers

    Kartik Bajaj;Karthik Pattabiraman;Ali Mesbah

  • GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications

    Bo Fang;Karthik Pattabiraman;Matei Ripeanu;Sudhanva Gurumurthi

  • An Empirical Study of Client-Side JavaScript Bugs

    Frolin Ocariza;Kartik Bajaj;Karthik Pattabiraman;Ali Mesbah

  • Failure Analysis of Jobs in Compute Clouds: A Google Cluster Case Study

    Xin Chen;Charng-Da Lu;Karthik Pattabiraman

  • LLFI: An Intermediate Code-Level Fault Injection Tool for Hardware Faults

    Qining Lu;Mostafa Farahani;Jiesheng Wei;Anna Thomas

  • SymPLFIED: Symbolic Program-Level Fault Injection and Error Detection Framework

    Karthik Pattabiraman;Nithin M. Nakka;Zbigniew T. Kalbarczyk;Ravishankar K. Iyer

  • One Bit is (Not) Enough: An Empirical Study of the Impact of Single and Multiple Bit-Flip Errors

    Behrooz Sangchoolie;Karthik Pattabiraman;Johan Karlsson

  • Modeling Soft-Error Propagation in Programs

    Guanpeng Li;Karthik Pattabiraman;Siva Kumar Sastry Hari;Michael Sullivan

  • Modeling coordinated checkpointing for large-scale supercomputers

    L. Wang;Karthik Pattabiraman;Z. Kalbarczyk;R.K. Iyer

  • Understanding JavaScript event-based interactions

    Saba Alimadadi;Sheldon Sequeira;Ali Mesbah;Karthik Pattabiraman

  • Efficient JavaScript Mutation Testing

    Shabnam Mirshokraie;Ali Mesbah;Karthik Pattabiraman

  • Application-based metrics for strategic placement of detectors

    K. Pattabiraman;Z. Kalbarczyk;R.K. Iyer

  • DoDOM: Leveraging DOM Invariants for Web 2.0 Application Robustness Testing

    Karthik Pattabiraman;Benjamin Zorn

  • JavaScript Errors in the Wild: An Empirical Study

    Frolin S. Ocariza;Karthik Pattabiraman;Benjamin Zorn

  • Detecting and tolerating asymmetric races

    Paruj Ratanaworabhan;Martin Burtscher;Darko Kirovski;Benjamin Zorn

  • BinFI: an efficient fault injector for safety-critical machine learning systems

    Zitao Chen;Guanpeng Li;Karthik Pattabiraman;Nathan DeBardeleben

  • Understanding error propagation in GPGPU applications

    Guanpeng Li;Karthik Pattabiraman;Chen-Yang Cher;Pradip Bose

Frequent Co-Authors

Ali Mesbah
Ali Mesbah University of British Columbia
Ravishankar K. Iyer
Ravishankar K. Iyer University of Illinois at Urbana-Champaign
Zbigniew Kalbarczyk
Zbigniew Kalbarczyk University of Illinois at Urbana-Champaign
Matei Ripeanu
Matei Ripeanu University of British Columbia
Benjamin G. Zorn
Benjamin G. Zorn Microsoft (United States)
Sudhanva Gurumurthi
Sudhanva Gurumurthi Advanced Micro Devices (United States)
Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign
Thomas Moscibroda
Thomas Moscibroda Microsoft (United States)
Andre Ivanov
Andre Ivanov University of British Columbia
Deming Chen
Deming Chen University of Illinois at Urbana-Champaign

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