Among the many software testing techniques available today, fuzzing has remained highly
popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of …

The use of reduced precision to improve performance metrics such as computation latency
and power consumption is a common practice in the embedded systems field. This practice …

Hybrid testing combines fuzz testing and concolic execution. It leverages fuzz testing to test
easy-to-reach code regions and uses concolic execution to explore code blocks guarded by …

The C and C++ programming languages are notoriously insecure yet remain indispensable.
Developers therefore resort to a multi-pronged approach to find security issues before …

We present TLS-Attacker, an open source framework for evaluating the security of TLS
libraries. TLS-Attacker allows security engineers to create custom TLS message flows and …

This paper studies an emerging class of software bugs called optimization-unstable code:
code that is unexpectedly discarded by compiler optimizations due to undefined behavior in …

Logic bugs in Database Management Systems (DBMSs) are bugs that cause an incorrect
result for a given query, for example, by omitting a row that should be fetched. These bugs …

There is a significant body of work devoted to testing, verifying, and certifying the correctness
of optimizing compilers. The focus of such work is to determine if source code and optimized …

Integer errors have emerged as an important threat to systems security, because they allow
exploits such as buffer overflow and privilege escalation. This paper presents KINT, a tool …

Numerical computation is dominant in deep learning (DL) programs. Consequently,
numerical bugs are one of the most prominent kinds of defects in DL programs. Numerical …