Muhammad Ali Gulzar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Big Data Analytics

Redescription Mining

Top Venues

ESEC/SIGSOFT FSE

ICSE (Companion Volume)

Publications

Abdul Haddi Amjad, Shaoor Munir, Zubair Shafiq, Muhammad Ali Gulzar
Blocking Tracking JavaScript at the Function Granularity. CoRR (2024)
Yaoxuan Wu, Ahmad Humayun, Muhammad Ali Gulzar, Miryung Kim
Natural Symbolic Execution-Based Testing for Big Data Analytics. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Waris Gill, Mohamed Elidrisi, Pallavi Kalapatapu, Ali Anwar, Muhammad Ali Gulzar
Privacy-Aware Semantic Cache for Large Language Models. CoRR (2024)
Sabaat Haroon, Chris Brown, Muhammad Ali Gulzar
DeSQL: Interactive Debugging of SQL in Data-Intensive Scalable Computing. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Hong Jin Kang, Fabrice Harel-Canada, Muhammad Ali Gulzar, Violet Peng, Miryung Kim
Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking. CoRR (2024)
Ahmad Humayun, Miryung Kim, Muhammad Ali Gulzar
Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics. ESEC/SIGSOFT FSE (2023)
Abdul Haddi Amjad, Zubair Shafiq, Muhammad Ali Gulzar
Blocking JavaScript Without Breaking the Web: An Empirical Investigation. Proc. Priv. Enhancing Technol. 2023 (3) (2023)
Abdul Haddi Amjad, Zubair Shafiq, Muhammad Ali Gulzar
Blocking JavaScript without Breaking the Web: An Empirical Investigation. CoRR (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
FedDebug: Systematic Debugging for Federated Learning Applications. CoRR (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
FedDefender: Backdoor Attack Defense in Federated Learning. SE4SafeML@SIGSOFT FSE (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning. CoRR (2023)
Bowen Shen, Muhammad Ali Gulzar, Fei He, Na Meng
A Characterization Study of Merge Conflicts in Java Projects. ACM Trans. Softw. Eng. Methodol. 32 (2) (2023)
Ahmad Humayun, Yaoxuan Wu, Miryung Kim, Muhammad Ali Gulzar
NaturalFuzz: Natural Input Generation for Big Data Analytics. ASE (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
FedDefender: Backdoor Attack Defense in Federated Learning. CoRR (2023)
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
FedDebug: Systematic Debugging for Federated Learning Applications. ICSE (2023)
Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng, Miryung Kim
Sibylvariant Transformations for Robust Text Classification. CoRR (2022)
Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng, Miryung Kim
Sibylvariant Transformations for Robust Text Classification. ACL (Findings) (2022)
Sheikh Shadab Towqir, Bowen Shen, Muhammad Ali Gulzar, Na Meng
Detecting Build Conflicts in Software Merge for Java Programs via Static Analysis. ASE (2022)
Muhammad Ali Gulzar, Miryung Kim
OptDebug: Fault-Inducing Operation Isolation for Dataflow Applications. SoCC (2021)
Shunyu David Yao, Muhammad Ali Gulzar, Liqing Zhang, Ali Raza Butt
Towards a Serverless Bioinformatics Cyberinfrastructure Pipeline. HiPS@HPDC (2021)
Abdul Haddi Amjad, Danial Saleem, Fareed Zaffar, Muhammad Ali Gulzar, Zubair Shafiq
TrackerSift: Untangling Mixed Tracking and Functional Web Resources. CoRR (2021)
Qian Zhang, Jiyuan Wang, Muhammad Ali Gulzar, Rohan Padhye, Miryung Kim
Efficient Fuzz Testing for Apache Spark Using Framework Abstraction. ICSE (Companion Volume) (2021)
Abdul Haddi Amjad, Danial Saleem, Muhammad Ali Gulzar, Zubair Shafiq, Fareed Zaffar
TrackerSift: untangling mixed tracking and functional web resources. Internet Measurement Conference (2021)
Qian Zhang, Jiyuan Wang, Muhammad Ali Gulzar, Rohan Padhye, Miryung Kim
Efficient Fuzz Testing for Apache Spark Using Framework Abstraction. CoRR (2021)
Fabrice Harel-Canada, Lingxiao Wang, Muhammad Ali Gulzar, Quanquan Gu, Miryung Kim
Is neuron coverage a meaningful measure for testing deep neural networks? ESEC/SIGSOFT FSE (2020)
Muhammad Ali Gulzar, Madanlal Musuvathi, Miryung Kim
BigTest: a symbolic execution based systematic test generation tool for Apache spark. ICSE (Companion Volume) (2020)
Qian Zhang, Jiyuan Wang, Muhammad Ali Gulzar, Rohan Padhye, Miryung Kim
BigFuzz: Efficient Fuzz Testing for Data Analytics Using Framework Abstraction. ASE (2020)
Jason Teoh, Muhammad Ali Gulzar, Miryung Kim
Influence-based provenance for dataflow applications with taint propagation. SoCC (2020)
Jason Lau, Aishwarya Sivaraman, Qian Zhang, Muhammad Ali Gulzar, Jason Cong, Miryung Kim
HeteroRefactor: refactoring for heterogeneous computing with FPGA. ICSE (2020)
Muhammad Ali Gulzar, Shaghayegh Mardani, Madanlal Musuvathi, Miryung Kim
White-box testing of big data analytics with complex user-defined functions. ESEC/SIGSOFT FSE (2019)
Jason Teoh, Muhammad Ali Gulzar, Guoqing Harry Xu, Miryung Kim
PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems. SoCC (2019)
Muhammad Ali Gulzar, Yongkang Zhu, Xiaofeng Han
Perception and practices of differential testing. ICSE (SEIP) (2019)
Jason Teoh, Guoqing Harry Xu, Miryung Kim, Muhammad Ali Gulzar
PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems. SoCC (2019)
Biplob Debnath, Mohiuddin Solaimani, Muhammad Ali Gulzar, Nipun Arora, Cristian Lumezanu, Jianwu Xu, Bo Zong, Hui Zhang, Guofei Jiang, Latifur Khan
LogLens: A Real-Time Log Analysis System. ICDCS (2018)
Muhammad Ali Gulzar
Interactive and automated debugging for big data analytics. ICSE (Companion Volume) (2018)
Muhammad Ali Gulzar, Siman Wang, Miryung Kim
BigSift: automated debugging of big data analytics in data-intensive scalable computing. ESEC/SIGSOFT FSE (2018)
Matteo Interlandi, Ari Ekmekji, Kshitij Shah, Muhammad Ali Gulzar, Sai Deep Tetali, Miryung Kim, Todd D. Millstein, Tyson Condie
Adding data provenance support to Apache Spark. VLDB J. 27 (5) (2018)
Muhammad Ali Gulzar, Matteo Interlandi, Xueyuan Han, Mingda Li, Tyson Condie, Miryung Kim
Automated debugging in data-intensive scalable computing. SoCC (2017)
Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie, Miryung Kim
. SIGMOD Conference (2017)
Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie, Miryung Kim
BigDebug: interactive debugger for big data analytics in Apache Spark. SIGSOFT FSE (2016)
Muhammad Ali Gulzar, Xueyuan Han, Matteo Interlandi, Shaghayegh Mardani, Sai Deep Tetali, Todd D. Millstein, Miryung Kim
Interactive Debugging for Big Data Analytics. HotCloud (2016)
Matteo Interlandi, Sai Deep Tetali, Muhammad Ali Gulzar, Joseph Noor, Tyson Condie, Miryung Kim, Todd D. Millstein
Optimizing Interactive Development of Data-Intensive Applications. SoCC (2016)
Muhammad Ali Gulzar, Matteo Interlandi, Seunghyun Yoo, Sai Deep Tetali, Tyson Condie, Todd D. Millstein, Miryung Kim
BigDebug: debugging primitives for interactive big data processing in spark. ICSE (2016)
Matteo Interlandi, Kshitij Shah, Sai Deep Tetali, Muhammad Ali Gulzar, Seunghyun Yoo, Miryung Kim, Todd D. Millstein, Tyson Condie
Titian: Data Provenance Support in Spark. Proc. VLDB Endow. 9 (3) (2015)
Hashim Sharif, Saad Ismail, Shehroze Farooqi, Mohammad Taha Khan, Muhammad Ali Gulzar, Hasnain Lakhani, Fareed Zaffar, Ahmed Abbasi
A Classification Based Framework to Predict Viral Threads. PACIS (2015)