ICSE 2024
Fri 12 - Sun 21 April 2024 Lisbon, Portugal
Wed 17 Apr 2024 17:00 - 17:15 at Pequeno Auditório - Program Repair 3 Chair(s): Alcides Fonseca

Enhancing supply chain security is crucial, often involving the detection and porting of patches from upstream to downstream. However, current security patch analysis works yield relatively low recall rates (i.e., many security patches are missed). In this work, we offer a new solution to fix a substantial number of vulnerabilities in outdated dependency code. We develop SPatch to comprehensively detect fine-grained safe patches. It leverages fine-grained patch analysis and a new differential symbolic execution technique to analyze the functional impacts of code changes.

We evaluated SPatch on various software, including the Linux kernel and OpenSSL, and demonstrated that it outperformed existing methods in detecting safe patches, resulting in observable security benefits. In our case studies, we updated hundreds of functions in modern software using safe patches detected by SPatch without causing any regression issues. Our detected safe security patches have been merged into the latest version of downstream software like Redis.

Wed 17 Apr

Displayed time zone: Lisbon change

16:00 - 17:30
Program Repair 3Research Track at Pequeno Auditório
Chair(s): Alcides Fonseca University of Lisbon
16:00
15m
Talk
RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness
Research Track
Li Tianlin Nanyang Technological University, Yue Cao Nanyang Technological University, Jian Zhang Nanyang Technological University, Shiqian Zhao Nanyang Technological University, Yihao Huang East China Normal University, Aishan Liu Beihang University; Institute of Dataspace, Qing Guo IHPC and CFAR at A*STAR, Singapore, Yang Liu Nanyang Technological University
16:15
15m
Talk
ITER: Iterative Neural Repair for Multi-Location Patches
Research Track
He Ye Carnegie Mellon University, Martin Monperrus KTH Royal Institute of Technology
16:30
15m
Talk
Out of Context: How important is Local Context in Neural Program Repair?
Research Track
Julian Prenner Free University of Bozen-Bolzano, Romain Robbes CNRS, LaBRI, University of Bordeaux
16:45
15m
Talk
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources
Research Track
Xin Zhou Singapore Management University, Singapore, Kisub Kim Singapore Management University, Singapore, Bowen Xu North Carolina State University, DongGyun Han Royal Holloway, University of London, David Lo Singapore Management University
17:00
15m
Talk
Strengthening Supply Chain Security with Fine-grained Safe Patch Identification
Research Track
Luo Changhua The Chinese University of Hong Kong, Wei Meng Chinese University of Hong Kong, Shuai Wang The Hong Kong University of Science and Technology