Arpan Gujarati

28 papers A* 1A 13B 4C 1Misc 1Journal 3Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	D-semble: Efficient Diversity-Guided Search for Resilient ML Ensembles. SAC Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan
2025	B	`conf`	EtherTime: Cross-Vendor Evaluation of PTP/NTP on Ethernet-Based COTS Embedded Platforms. RTCSA Vincent Bode, William Shen, Arpan Gujarati
2025	A	`conf`	Faster, Exact, More General Response-Time Analysis for NVIDIA Holoscan Applications. RTSS Philip Schowitz, Shubhaankar Sharma, Siddharth Balodi, Soham Sinha, Bruce Shepherd, Arpan Gujarati
2025	A	`conf`	ReMlX: Resilience for ML Ensembles using XAI at Inference against Faulty Training Data. DSN Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan
2024	—	`conf`	Harnessing Explainability to Improve ML Ensemble Resilience. DSN-S Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan
2024	A	`conf`	RABIT, a Robot Arm Bug Intervention Tool for Self-Driving Labs. DSN Zainab Saeed Wattoo, Petal Vitis, Ruizhe Zhu, Noah Depner, Ivory Zhang, Jason Hein, Arpan Gujarati, Margo I. Seltzer
2024	A	`conf`	Response-Time Analysis of a Soft Real-time NVIDIA Holoscan Application. RTSS Philip Schowitz, Soham Sinha, Arpan Gujarati
2023	A	`conf`	Evaluating the Effect of Common Annotation Faults on Object Detection Techniques. ISSRE Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan
2022	A	`conf`	Arming IDS Researchers with a Robotic Arm Dataset. DSN Arpan Gujarati, Zainab Saeed Wattoo, Maryam Raiyat Aliabadi, Sean Clark, Xiaoman Liu, Parisa Shiri, Amee Trivedi, Ruizhe Zhu, Jason Hein, Margo I. Seltzer
2022	A	`conf`	In-ConcReTeS: Interactive Consistency meets Distributed Real-Time Systems, Again! RTSS Arpan Gujarati, Ningfeng Yang, Björn B. Brandenburg
2022	A	`conf`	The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in Machine Learning Applications. DSN Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan
2022	—	`conf`	Towards Building Resilient Ensembles against Training Data Faults. DSN Workshops Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan
2021	C	`conf`	Understanding the Resilience of Neural Network Ensembles against Faulty Training Data. QRS Abraham Chan, Niranjhana Narayanan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan
2020	—	`conf`	New Wine in an Old Bottle: N-Version Programming for Machine Learning Components. ISSRE Workshops Arpan Gujarati, Sathish Gopalakrishnan, Karthik Pattabiraman
2020	A	`conf`	Real-Time Replica Consistency over Ethernet with Reliability Bounds. RTAS Arpan Gujarati, Sergey Bozhko, Björn B. Brandenburg
2020	A*	`conf`	Serving DNNs like Clockwork: Performance Predictability from the Bottom Up. OSDI Arpan Gujarati, Reza Karimi, Safya Alzayat, Wei Hao, Antoine Kaufmann, Ymir Vigfusson, Jonathan Mace
2020	J	`jnl`	Serving DNNs like Clockwork: Performance Predictability from the Bottom Up. CoRR Arpan Gujarati, Reza Karimi, Safya Alzayat, Antoine Kaufmann, Ymir Vigfusson, Jonathan Mace
2020	—	`—`	Towards "Ultra-Reliable" CPS: Reliability Analysis of Distributed Real-Time Systems. Arpan Gujarati
2019	—	`conf`	Achal: building highly reliable networked control systems. EMSOFT Companion Arpan Gujarati, Malte Appel, Björn B. Brandenburg
2019	J	`jnl`	Correspondence article: a correction of the reduction-based schedulability analysis for APA scheduling. Real Time Syst. Arpan Gujarati, Felipe Cerqueira, Björn B. Brandenburg, Geoffrey Nelissen
2019	B	`conf`	From Iteration to System Failure: Characterizing the FITness of Periodic Weakly-Hard Systems. ECRTS Arpan Gujarati, Mitra Nasri, Rupak Majumdar, Björn B. Brandenburg
2018	B	`conf`	Quantifying the Resiliency of Fail-Operational Real-Time Networked Control Systems. ECRTS Arpan Gujarati, Mitra Nasri, Björn B. Brandenburg
2018	A	`conf`	Tableau: a high-throughput and predictable VM scheduler for high-density workloads. EuroSys Manohar Vanga, Arpan Gujarati, Björn B. Brandenburg
2017	A	`conf`	Swayam: distributed autoscaling to meet SLAs of machine learning inference services with resource efficiency. Middleware Arpan Gujarati, Sameh Elnikety, Yuxiong He, Kathryn S. McKinley, Björn B. Brandenburg
2015	J	`jnl`	Multiprocessor real-time scheduling with arbitrary processor affinities: from practice to theory. Real Time Syst. Arpan Gujarati, Felipe Cerqueira, Björn B. Brandenburg
2015	A	`conf`	When Is CAN the Weakest Link? A Bound on Failures-in-Time in CAN-Based Real-Time Systems. RTSS Arpan Gujarati, Björn B. Brandenburg
2014	A	`conf`	Linux's Processor Affinity API, Refined: Shifting Real-Time Tasks Towards Higher Schedulability. RTSS Felipe Cerqueira, Arpan Gujarati, Björn B. Brandenburg
2013	B	`conf`	Outstanding Paper Award: Schedulability Analysis of the Linux Push and Pull Scheduler with Arbitrary Processor Affinities. ECRTS Arpan Gujarati, Felipe Cerqueira, Björn B. Brandenburg