Muhammad Ali Gulzar

Orcid: 0000-0002-8007-8662

According to our database1, Muhammad Ali Gulzar authored at least 35 papers between 2015 and 2024.

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Bibliography

2024
Privacy-Aware Semantic Cache for Large Language Models.
CoRR, 2024

2023
Blocking JavaScript Without Breaking the Web: An Empirical Investigation.
Proc. Priv. Enhancing Technol., July, 2023

A Characterization Study of Merge Conflicts in Java Projects.
ACM Trans. Softw. Eng. Methodol., April, 2023

ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning.
CoRR, 2023

Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

FedDefender: Backdoor Attack Defense in Federated Learning.
Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, 2023

NaturalFuzz: Natural Input Generation for Big Data Analytics.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

FedDebug: Systematic Debugging for Federated Learning Applications.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Detecting Build Conflicts in Software Merge for Java Programs via Static Analysis.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Sibylvariant Transformations for Robust Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
TrackerSift: untangling mixed tracking and functional web resources.
Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021

Efficient Fuzz Testing for Apache Spark Using Framework Abstraction.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Towards a Serverless Bioinformatics Cyberinfrastructure Pipeline.
Proceedings of the HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, 2021

OptDebug: Fault-Inducing Operation Isolation for Dataflow Applications.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020
Automated Testing and Debugging for Big Data Analytics.
PhD thesis, 2020

Is neuron coverage a meaningful measure for testing deep neural networks?
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

BigFuzz: Efficient Fuzz Testing for Data Analytics Using Framework Abstraction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

HeteroRefactor: refactoring for heterogeneous computing with FPGA.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

BigTest: a symbolic execution based systematic test generation tool for Apache spark.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Influence-based provenance for dataflow applications with taint propagation.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019
White-box testing of big data analytics with complex user-defined functions.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Perception and practices of differential testing.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
Adding data provenance support to Apache Spark.
VLDB J., 2018

BigSift: automated debugging of big data analytics in data-intensive scalable computing.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Interactive and automated debugging for big data analytics.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

LogLens: A Real-Time Log Analysis System.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
Debugging Big Data Analytics in Spark with <i>BigDebug</i>.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Automated debugging in data-intensive scalable computing.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016
BigDebug: interactive debugger for big data analytics in Apache Spark.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

BigDebug: debugging primitives for interactive big data processing in spark.
Proceedings of the 38th International Conference on Software Engineering, 2016

Interactive Debugging for Big Data Analytics.
Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing, 2016

Optimizing Interactive Development of Data-Intensive Applications.
Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2015
Titian: Data Provenance Support in Spark.
Proc. VLDB Endow., 2015

A Classification Based Framework to Predict Viral Threads.
Proceedings of the 19th Pacific Asia Conference on Information Systems, 2015


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