Following the recent release of AI assistants, such as OpenAI's ChatGPT and GitHub
Copilot, the software industry quickly utilized these tools for software development tasks, eg …

Adversarial machine learning (AML) has the potential to leak training data, force arbitrary
classifications, and greatly degrade overall performance of machine learning models, all of …

Previous research demonstrated that company developers excel compared to freelancers
and computer science students, with the corporate environment significantly influencing …

Password managers allow users to improve password security by handling large numbers of
strong and unique passwords without the burden of memorizing them. While users are …

Threat modeling is considered an essential first step for" secure by design" development.
Significant prior work and industry efforts have created novel methods for this type of threat …

Software security research has a core problem: it is impossible to prove the security of
complex software. A low number of known defects may simply indicate that the software has …

To ensure data-privacy compliance, it is common for companies to consult privacy experts
for the identification and communication of privacy requirements to software developers …

Health data is considered to be sensitive and personal; both governments and software
platforms have enacted specific measures to protect it. Consumer apps that collect health …

To address the issue of participant recruitment for security developer studies, researchers
proposed using freelance online platforms or recruiting computer science (CS) students as …

The cybersecurity workforce lacks diversity; the field is predominately men and White or
Asian, with only 10% identifying as women, Latine, or Black. Previous studies identified …