This list of selected publications is sometimes old. A full list of recent publications may be found at my Google Scholar Profile.

 
Multi-Node Multi-GPU Datalog. Ahmedur Rahman Shovon, Yihao Sun, Kristopher Micinski, Thomas Gilray, and Sidharth Kumar. In Proceedings of the 39th ACM International Conference on Supercomputing, ICS '25, page 822–836, New York, NY, USA, 2025. Association for Computing Machinery. Acceptance rate: 23.4%. [ bib | DOI | http ]
 
Optimizing Datalog on the GPU. Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Sidharth Kumar, and Kristopher Micinski. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS '25), March 2025. Acceptance rate: 20.5%, (105 out of 510). [ bib ]
 
Column-Oriented Datalog on the GPU. Yihao Sun, Sidharth Kumar, Thomas Gilray, and Kristopher Micinski. Proceedings of the AAAI Conference on Artificial Intelligence, 2025. Acceptance rate: 23.4%. https://arxiv.org/abs/2501.13051. [ bib ]
 
Datalog with First-Class Facts. Thomas Gilray, Arash Sahebolamri, Yihao Sun, Sowmith Kunapaneni, Sidharth Kumar, and Kristopher Micinski. Proc. VLDB Endow. (VLDB '25), 18(3):651–665, April 2025. Acceptance rate not announced yet. [ bib | DOI | http ]
 
Is Function Similarity Over-Engineered? Building a Benchmark. Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher Micinski, Edward Raff, and James Holt. Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS '24 datasets and benchmarks track), 2024. [ bib ]
 
Assemblage: Automatic Binary Dataset Construction for Machine Learning. Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, and Kristopher Micinski. Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS '24 datasets and benchmarks track), 2024. [ bib ]
 
Incremental Evaluation of Dynamic Datalog Programs as a Higher-order DBSP Program. Bruno Rucy Carneiro Alves de Lima, Merlin Kramer, Kalmer Apinis, and Kristopher Micinski. the 5th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog 2.0 '24), 2024. [ bib ]
 
Bring Your Own Data Structures to Datalog. Arash Sahebolamri, Langston Barrett, Scott Moore, and Kristopher Micinski. Proc. ACM Program. Lang. (PACMPL), 7(OOPSLA Round 2 '23), October 2023. (Acceptance rate: 36%. Distinguished Paper award at OOPSLA '23). [ bib | DOI | http ]
 
Towards Iterative Relational Algebra on the GPU. Ahmedur Rahman Shovon, Thomas Gilray, Kristopher Micinski, and Sidharth Kumar. In 2023 USENIX Annual Technical Conference (USENIX ATC '23), pages 1009--1016, Boston, MA, July 2023. USENIX Association. (Acceptance rate: 18%). [ bib | http ]
 
Communication-Avoiding Recursive Aggregation. Yihao Sun, Thomas Gilray, Sidharth Kumar, and Kristopher Micinski. Proceedings of the IEEE Conference on Cluster Computing (IEEE Cluster '23), (Cluster), Oct 2023. (Acceptance rate: 24%). [ bib ]
 
Optimizing the Bruck Algorithm for Non-Uniform All-to-All Communication. Ke Fan, Thomas Gilray, Valerio Pascucci, Xuan Huang, Kristopher Micinski, and Sidharth Kumar. In Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC '22), HPDC '22, page 172–184, New York, NY, USA, 2022. Association for Computing Machinery. (Acceptance rate: 19%). [ bib | DOI | http ]
 
Seamless Deductive Inference via Macros. Arash Sahebolamri, Thomas Gilray, and Kristopher Micinski. In Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction (CC '22), page 77–88, New York, NY, USA, 2022. Association for Computing Machinery. (Acceptance rate: 32%). [ bib | DOI | http ]
 
Compiling Data-Parallel Datalog. Thomas Gilray, Sidharth Kumar, and Kristopher Micinski. In Proceedings of the 30th ACM SIGPLAN International Conference on Compiler Construction (CC '21), page 23–35, New York, NY, USA, 2021. Association for Computing Machinery. (Acceptance rate: 37%). [ bib | DOI | http ]
 
Exploring MPI Collective I/O and File-per-process I/O for Checkpointing a Logical Inference Task. Ke Fan, Kristopher Micinski, Thomas Gilray, and Sidharth Kumar. In 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW '21), pages 965--972, 2021. [ bib | DOI ]
 
Declarative Demand-Driven Reverse Engineering. Yihao Sun, Jeffrey Ching, and Kristopher Micinski. In Workshop on Binary Analysis Research (textbfBAR '21) at NDSS 2021, February 2021. (Acceptance rate: 60%). [ bib | .pdf ]
 
Abstracting Faceted Execution. Kristopher Micinski, David Darais, and Thomas Gilray. In 2020 IEEE 33rd Computer Security Foundations Symposium (CSF '20), pages 184--198, 2020. (Acceptance rate: 25%). [ bib | DOI ]
 
An observational investigation of reverse engineers' processes. Daniel Votipka, Seth M. Rabin, Kristopher Micinski, Jeffrey S. Foster, and Michelle M. Mazurek. In Proceedings of the 29th USENIX Security Symposium (USENIX '20), Proceedings of the 29th USENIX Security Symposium, pages 1875--1892. USENIX Association, 2020. (Acceptance rate: 16.1%). [ bib ]
 
Symbolic Path Tracing to Find Android Permission-Use Triggers, Kristopher Micinski, Thomas Gilray, Daniel Votipka, Jeffrey S. Foster, and Michelle L. Mazurek. February 2019. [ bib | .pdf ]
 
User Comfort with Android Background Resource Accesses in Different Contexts. Daniel Votipka, Seth M. Rabin, Kristopher Micinski, Thomas Gilray, Michelle L. Mazurek, and Jeffrey S. Foster. In Fourteenth Symposium on Usable Privacy and Security (SOUPS '18), pages 235--250, Baltimore, MD, August 2018. USENIX Association. [ bib | http ]
 
Racets: Faceted Execution in Racket. Kristopher K. Micinski, Zhanpeng Wang, and Thomas Gilray. In Scheme Workshop at ICFP 2018 (Scheme '18), 2018. [ bib | http ]
 
User Interactions and Permission Use on Android. Kristopher Micinski, Daniel Votipka, Rock Stevens, Nikolaos Kofinas, Jeffrey S. Foster, and Michelle L. Mazurek. In Conference on Human Factors in Computing Systems (CHI '17), 2017. [ bib | .pdf ]
 
Checking Interaction-Based Declassification Policies for Android Using Symbolic Execution. Kristopher Micinski, Jonathan Fetter-Degges, Jinseong Jeon, Jeffrey S. Foster, and Michael R. Clarkson. In European Symposium on Research in Computer Security (ESORICS '15), volume 9327 of Lecture Notes in Computer Science, pages 520--538, Vienna, Austria, September 2015. [ bib | .pdf ]
 
Temporal Logics for Hyperproperties. Michael R. Clarkson, Bernd Finkbeiner, Masoud Koleini, Kristopher Micinski, Markus N. Rabe, and César Sánchez. In Martín Abadi and Steve Kremer, editors, Principles of Security and Trust (POST '14), volume 8414 of Lecture Notes in Computer Science, pages 265--284. Springer Berlin Heidelberg, 2014. [ bib | .pdf ]
 
An Empirical Study of Location Truncation on Android. Kristopher Micinski, Philip Phelps, and Jeffrey S. Foster. In Mobile Security Technologies (MoST '13), San Francisco, CA, May 2013. [ bib | .pdf ]
 
Distributed Cooperative Caching in Social Wireless Networks. Mahmoud Taghizadeh, Kristopher Micinski, Subir Biswas, Charles Ofria, and Eric Torng. IEEE Transactions on Mobile Computing, 12(6):1037--1053, 2013. [ bib | DOI ]
 
Dr. Android and Mr. Hide: Fine-grained Permissions in Android Applications. Jinseong Jeon, Kristopher Micinski, Jeffrey A. Vaughan, Ari Fogel, Nikhilesh Reddy, Jeffrey S. Foster, and Todd Millstein. In ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM '12), pages 3--14, Raleigh, NC, USA, October 2012. [ bib | .pdf ]