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Muhammad Ali Gulzar
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2020 – today
- 2024
- [j6]Sabaat Haroon
, Chris Brown
DeSQL: Interactive Debugging of SQL in Data-Intensive Scalable Computing. Proc. ACM Softw. Eng. 1(FSE): 767-788 (2024) - [j5]Yaoxuan Wu
Natural Symbolic Execution-Based Testing for Big Data Analytics. Proc. ACM Softw. Eng. 1(FSE): 2677-2700 (2024) - [c29]Hong Jin Kang, Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng, Miryung Kim:
Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking. NAACL-HLT (Findings) 2024: 3118-3129 - [i11]Waris Gill, Mohamed Elidrisi, Pallavi Kalapatapu, Ali Anwar, Muhammad Ali Gulzar:
Privacy-Aware Semantic Cache for Large Language Models. CoRR abs/2403.02694 (2024) - [i10]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 abs/2404.18881 (2024) - [i9]Abdul Haddi Amjad, Shaoor Munir, Zubair Shafiq, Muhammad Ali Gulzar:
Blocking Tracking JavaScript at the Function Granularity. CoRR abs/2405.18385 (2024) - [i8]Abdul Haddi Amjad, Muhammad Danish, Bless Jah, Muhammad Ali Gulzar:
Accessibility Issues in Ad-Driven Web Applications. CoRR abs/2409.18590 (2024) - 2023
- [j4]Abdul Haddi Amjad, Zubair Shafiq, Muhammad Ali Gulzar:
Blocking JavaScript Without Breaking the Web: An Empirical Investigation. Proc. Priv. Enhancing Technol. 2023(3): 391-404 (2023) - [j3]Bowen Shen
A Characterization Study of Merge Conflicts in Java Projects. ACM Trans. Softw. Eng. Methodol. 32(2): 40:1-40:28 (2023) - [c28]Waris Gill, Ali Anwar
FedDebug: Systematic Debugging for Federated Learning Applications. ICSE 2023: 512-523 - [c27]Ahmad Humayun, Yaoxuan Wu, Miryung Kim, Muhammad Ali Gulzar:
NaturalFuzz: Natural Input Generation for Big Data Analytics. ASE 2023: 1592-1603 - [c26]Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDefender: Backdoor Attack Defense in Federated Learning. SE4SafeML@SIGSOFT FSE 2023: 6-9 - [c25]Ahmad Humayun
Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics. ESEC/SIGSOFT FSE 2023: 1050-1061 - [i7]Waris Gill, Ali Anwar
FedDebug: Systematic Debugging for Federated Learning Applications. CoRR abs/2301.03553 (2023) - [i6]Abdul Haddi Amjad, Zubair Shafiq, Muhammad Ali Gulzar:
Blocking JavaScript without Breaking the Web: An Empirical Investigation. CoRR abs/2302.01182 (2023) - [i5]Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDefender: Backdoor Attack Defense in Federated Learning. CoRR abs/2307.08672 (2023) - [i4]Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning. CoRR abs/2312.13632 (2023) - 2022
- [c24]Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng, Miryung Kim:
Sibylvariant Transformations for Robust Text Classification. ACL (Findings) 2022: 1771-1788 - [c23]Sheikh Shadab Towqir
Detecting Build Conflicts in Software Merge for Java Programs via Static Analysis. ASE 2022: 33:1-33:13 - [i3]Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng, Miryung Kim:
Sibylvariant Transformations for Robust Text Classification. CoRR abs/2205.05137 (2022) - 2021
- [c22]Muhammad Ali Gulzar
OptDebug: Fault-Inducing Operation Isolation for Dataflow Applications. SoCC 2021: 359-372 - [c21]Shunyu David Yao, Muhammad Ali Gulzar, Liqing Zhang, Ali Raza Butt:
Towards a Serverless Bioinformatics Cyberinfrastructure Pipeline. HiPS@HPDC 2021: 33-40 - [c20]Qian Zhang, Jiyuan Wang, Muhammad Ali Gulzar, Rohan Padhye, Miryung Kim:
Efficient Fuzz Testing for Apache Spark Using Framework Abstraction. ICSE (Companion Volume) 2021: 61-64 - [c19]Abdul Haddi Amjad, Danial Saleem, Muhammad Ali Gulzar, Zubair Shafiq
TrackerSift: untangling mixed tracking and functional web resources. Internet Measurement Conference 2021: 569-576 - [i2]Qian Zhang, Jiyuan Wang, Muhammad Ali Gulzar, Rohan Padhye, Miryung Kim:
Efficient Fuzz Testing for Apache Spark Using Framework Abstraction. CoRR abs/2103.05118 (2021) - [i1]Abdul Haddi Amjad, Danial Saleem, Fareed Zaffar, Muhammad Ali Gulzar, Zubair Shafiq:
TrackerSift: Untangling Mixed Tracking and Functional Web Resources. CoRR abs/2108.13923 (2021) - 2020
- [b1]Muhammad Ali Gulzar:
Automated Testing and Debugging for Big Data Analytics. University of California, Los Angeles, USA, 2020 - [c18]Jason Teoh, Muhammad Ali Gulzar, Miryung Kim:
Influence-based provenance for dataflow applications with taint propagation. SoCC 2020: 372-386 - [c17]Muhammad Ali Gulzar, Madanlal Musuvathi, Miryung Kim:
BigTest: a symbolic execution based systematic test generation tool for Apache spark. ICSE (Companion Volume) 2020: 61-64 - [c16]Jason Lau
HeteroRefactor: refactoring for heterogeneous computing with FPGA. ICSE 2020: 493-505 - [c15]Qian Zhang, Jiyuan Wang, Muhammad Ali Gulzar, Rohan Padhye
BigFuzz: Efficient Fuzz Testing for Data Analytics Using Framework Abstraction. ASE 2020: 722-733 - [c14]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: 851-862
2010 – 2019
- 2019
- [c13]Jason Teoh, Muhammad Ali Gulzar, Guoqing Harry Xu, Miryung Kim:
PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems. SoCC 2019: 465-476 - [c12]Muhammad Ali Gulzar, Yongkang Zhu, Xiaofeng Han:
Perception and practices of differential testing. ICSE (SEIP) 2019: 71-80 - [c11]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: 290-301 - 2018
- [j2]Matteo Interlandi
Adding data provenance support to Apache Spark. VLDB J. 27(5): 595-615 (2018) - [c10]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: 1052-1062 - [c9]Muhammad Ali Gulzar:
Interactive and automated debugging for big data analytics. ICSE (Companion Volume) 2018: 509-511 - [c8]Muhammad Ali Gulzar, Siman Wang, Miryung Kim:
BigSift: automated debugging of big data analytics in data-intensive scalable computing. ESEC/SIGSOFT FSE 2018: 863-866 - 2017
- [c7]Muhammad Ali Gulzar, Matteo Interlandi, Xueyuan Han, Mingda Li, Tyson Condie, Miryung Kim:
Automated debugging in data-intensive scalable computing. SoCC 2017: 520-534 - [c6]Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie, Miryung Kim:
Debugging Big Data Analytics in Spark with BigDebug. SIGMOD Conference 2017: 1627-1630 - 2016
- [c5]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: 510-522 - [c4]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 - [c3]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: 784-795 - [c2]Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie, Miryung Kim:
BigDebug: interactive debugger for big data analytics in Apache Spark. SIGSOFT FSE 2016: 1033-1037 - 2015
- [j1]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): 216-227 (2015) - [c1]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: 134
Coauthor Index
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last updated on 2024-10-18 19:28 CEST by the dblp team
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