Arpan Gujarati

Affiliations:
  • University of British Columbia, Computer Science Department, Vancouver, BC, Canada
  • Max Planck Institute for Software Systems (MPI-SWS), Kaiserslautern, Germany
  • Kaiserslautern University of Technology, Germany (PhD 2020)


According to our database1, Arpan Gujarati authored at least 21 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Evaluating the Effect of Common Annotation Faults on Object Detection Techniques.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

2022
In-ConcReTeS: Interactive Consistency meets Distributed Real-Time Systems, Again!
Proceedings of the IEEE Real-Time Systems Symposium, 2022

Arming IDS Researchers with a Robotic Arm Dataset.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

Towards Building Resilient Ensembles against Training Data Faults.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in Machine Learning Applications.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021
Understanding the Resilience of Neural Network Ensembles against Faulty Training Data.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020
Towards "Ultra-Reliable" CPS: Reliability Analysis of Distributed Real-Time Systems.
PhD thesis, 2020

Serving DNNs like Clockwork: Performance Predictability from the Bottom Up.
CoRR, 2020

Real-Time Replica Consistency over Ethernet with Reliability Bounds.
Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2020

Serving DNNs like Clockwork: Performance Predictability from the Bottom Up.
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

New Wine in an Old Bottle: N-Version Programming for Machine Learning Components.
Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

2019
Correspondence article: a correction of the reduction-based schedulability analysis for APA scheduling.
Real Time Syst., 2019

Achal: building highly reliable networked control systems.
Proceedings of the International Conference on Embedded Software Companion, 2019

From Iteration to System Failure: Characterizing the FITness of Periodic Weakly-Hard Systems.
Proceedings of the 31st Euromicro Conference on Real-Time Systems, 2019

2018
Tableau: a high-throughput and predictable VM scheduler for high-density workloads.
Proceedings of the Thirteenth EuroSys Conference, 2018

Quantifying the Resiliency of Fail-Operational Real-Time Networked Control Systems.
Proceedings of the 30th Euromicro Conference on Real-Time Systems, 2018

2017
Swayam: distributed autoscaling to meet SLAs of machine learning inference services with resource efficiency.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11, 2017

2015
Multiprocessor real-time scheduling with arbitrary processor affinities: from practice to theory.
Real Time Syst., 2015

When Is CAN the Weakest Link? A Bound on Failures-in-Time in CAN-Based Real-Time Systems.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

2014
Linux's Processor Affinity API, Refined: Shifting Real-Time Tasks Towards Higher Schedulability.
Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014

2013
Outstanding Paper Award: Schedulability Analysis of the Linux Push and Pull Scheduler with Arbitrary Processor Affinities.
Proceedings of the 25th Euromicro Conference on Real-Time Systems, 2013


  Loading...