The field of fuzzing has brought about many new open-source tools, techniques, and insights to improve the state of the art of automated vulnerability discovery systems. How- ever, there are instances where the adoption of such new techniques and tools improves the state of the art of these systems while at the expense of portability, accessibility, and performance. Additionally, while many of the processor platforms used in the fuzzing com- munity already come built with components that observe program execution in the form of performance monitoring and tracing hardware, such hardware is not commonly used by fuzzers. On a similar note, there is currently a lack of evaluations for the usage of such hardware in the fuzzing literature. The mo...
Hardware performance monitoring counters have recently received a lot of attention. They have been u...
Detailed modeling of the performance of commercial applications is difficult. The applications can t...
Programming, understanding, and tuning the performance of large multiprocessor systems is challengin...
Coverage-guided fuzzing's aggressive, high-volume testing has helped reveal tens of thousands of sof...
Over the past several de ades, mi ropro essors have evolved to assist system software in implementin...
Fuzzing is an effective software testing method that discovers bugs by feeding target applications w...
ABSTRACT: Debugging and profiling tools can alter the execution flow or timing, can induce heisenbug...
We introduce the usage of hardware performance counters (HPCs) as a new method that allows very prec...
Fixing one issue sometimes brings another ten to the program. To detect these issues, especially per...
Recent microprocessor advances have significantly improved the capabilities of on-chip performance m...
With a booming number of applications and end-users in the past decade, software security has been e...
Fuzzing is one of the most widely deployed techniques to discover software security vulnerabilities....
CPU clock frequency is not likely to be increased significantly in the coming years, and data analys...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
When creating architectural tools, it is essential to know whether the generated results make sense....
Hardware performance monitoring counters have recently received a lot of attention. They have been u...
Detailed modeling of the performance of commercial applications is difficult. The applications can t...
Programming, understanding, and tuning the performance of large multiprocessor systems is challengin...
Coverage-guided fuzzing's aggressive, high-volume testing has helped reveal tens of thousands of sof...
Over the past several de ades, mi ropro essors have evolved to assist system software in implementin...
Fuzzing is an effective software testing method that discovers bugs by feeding target applications w...
ABSTRACT: Debugging and profiling tools can alter the execution flow or timing, can induce heisenbug...
We introduce the usage of hardware performance counters (HPCs) as a new method that allows very prec...
Fixing one issue sometimes brings another ten to the program. To detect these issues, especially per...
Recent microprocessor advances have significantly improved the capabilities of on-chip performance m...
With a booming number of applications and end-users in the past decade, software security has been e...
Fuzzing is one of the most widely deployed techniques to discover software security vulnerabilities....
CPU clock frequency is not likely to be increased significantly in the coming years, and data analys...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
When creating architectural tools, it is essential to know whether the generated results make sense....
Hardware performance monitoring counters have recently received a lot of attention. They have been u...
Detailed modeling of the performance of commercial applications is difficult. The applications can t...
Programming, understanding, and tuning the performance of large multiprocessor systems is challengin...