SAS 2021
Sun 17 - Fri 22 October 2021 Chicago, Illinois, United States
co-located with SPLASH 2021
Sun 17 Oct 2021 09:45 - 10:00 at Zurich B - Session 1A Chair(s): Cezara Drăgoi
Sun 17 Oct 2021 17:45 - 18:00 at Zurich B - Session 1A Chair(s): Kedar Namjoshi

Modern programs are increasingly multilanguage, to benefit from each programming language’s advantages and to reuse libraries. For example, developers may want to combine high-level Python code with low-level, performance-oriented C code. In fact one in five of the 200 most-downloaded Python libraries available on GitHub contains C code. Static analyzers tend to focus on a single language, and may use stubs to model the behavior of foreign function calls. However, stubs are costly to implement and undermine soundness of analyzers. In this work we design a static analyzer by abstract interpretation that can handle Python programs calling C extensions. It analyses directly and fully automatically both the Python and the C source codes. It reports runtime errors that may happen in Python, in C, and at the interface. We implemented our analysis in a modular fashion: it reuses off-the-shelf C and Python analyses written in the same analyzer. This approach allows sharing between abstract domains of different languages. Our analyzer can tackle tests of real-world libraries a few thousand lines of C and Python long.

Sun 17 Oct

Displayed time zone: Central Time (US & Canada) change

09:00 - 10:20
Session 1ASAS at Zurich B +8h
Chair(s): Cezara Drăgoi Inria / ENS / Informal Systems
09:00
15m
Talk
Accelerating Program Analyses in Datalog by Merging Library FactsVirtual
SAS
Yifan Chen Peking University, Chenyang Yang , Xin Zhang Peking University, Yingfei Xiong Peking University, Hao Tang Peking University, Xiaoyin Wang University of Texas at San Antonio, Lu Zhang Peking University
09:15
15m
Talk
Exploiting Verified Neural Networks via Floating Point Numerical ErrorVirtual
SAS
Kai Jia Massachusetts Institute of Technology, Martin C. Rinard
Pre-print
09:30
15m
Talk
Verifying Low-dimensional Input Neural Networks via Input QuantizationVirtual
SAS
Kai Jia Massachusetts Institute of Technology, Martin C. Rinard Massachusetts Institute of Technology
Pre-print
09:45
15m
Talk
A Multi-Language Static Analysis of Python Programs with Native C ExtensionsVirtual
SAS
Raphaël Monat Sorbonne Université — LIP6, Abdelraouf Ouadjaout Sorbonne Université, Antoine Miné Sorbonne Université
Pre-print Media Attached
10:00
20m
Live Q&A
Session 1A Discussion, Questions and Answers Virtual
SAS

17:00 - 18:20
Session 1ASAS at Zurich B
Chair(s): Kedar Namjoshi Nokia Bell Labs
17:00
15m
Talk
Accelerating Program Analyses in Datalog by Merging Library FactsVirtual
SAS
Yifan Chen Peking University, Chenyang Yang , Xin Zhang Peking University, Yingfei Xiong Peking University, Hao Tang Peking University, Xiaoyin Wang University of Texas at San Antonio, Lu Zhang Peking University
17:15
15m
Talk
Exploiting Verified Neural Networks via Floating Point Numerical ErrorVirtual
SAS
Kai Jia Massachusetts Institute of Technology, Martin C. Rinard
Pre-print
17:30
15m
Talk
Verifying Low-dimensional Input Neural Networks via Input QuantizationVirtual
SAS
Kai Jia Massachusetts Institute of Technology, Martin C. Rinard Massachusetts Institute of Technology
Pre-print
17:45
15m
Talk
A Multi-Language Static Analysis of Python Programs with Native C ExtensionsVirtual
SAS
Raphaël Monat Sorbonne Université — LIP6, Abdelraouf Ouadjaout Sorbonne Université, Antoine Miné Sorbonne Université
Pre-print Media Attached
18:00
20m
Live Q&A
Session 1A Discussion, Questions and Answers Virtual
SAS

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