Recent work has shown that adversarial Windows malware samples—referred to as
adversarial EXE mples in this article—can bypass machine learning-based detection relying …

Windows malware detectors based on machine learning are vulnerable to adversarial
examples, even if the attacker is only given black-box query access to the model. The main …

Disassembly of binary code is hard, but necessary for improving the security of binary
software. Over the past few decades, research in binary disassembly has produced many …

Static binary rewriting has many important applications in software security and systems,
such as hardening, repair, patching, instrumentation, and debugging. While many different …

Adversarial binaries are executable files that have been altered without loss of function by
an AI agent in order to deceive malware detection systems. Progress in this emergent vein of …

Coverage-guided fuzzing's aggressive, high-volume testing has helped reveal tens of
thousands of software security flaws. While executing billions of test cases mandates fast …

A key strength of managed runtimes over hardware is the ability to gain detailed insight into
the dynamic execution of programs with instrumentation. Analyses such as code coverage …

The breakdown of Dennard scaling has resulted in a decade-long stall of the maximum
operating clock frequencies of processors. To mitigate this issue, computing shifted to multi …

Static rewriting enables late-state code changes (eg, to add mitigations, to remove
unnecessary code, or to instrument for code coverage) at low overhead in security-critical …

With the end of Moore's Law-based scaling, novel microarchitectural optimizations are being
patented, researched, and implemented at an increasing rate. Previous research has …