Megan Nyre-Yu (Sandia National Laboratories), Elizabeth S. Morris (Sandia National Laboratories), Blake Moss (Sandia National Laboratories), Charles Smutz (Sandia National Laboratories), Michael R. Smith (Sandia National Laboratories)

MiTechnological advances relating to artificial intelligence (AI) and explainable AI (xAI) techniques are at a stage of development that requires better understanding of operational context. AI tools are primarily viewed as black boxes and some hesitation exists in employing them due to lack of trust and transparency. xAI technologies largely aim to overcome these issues to improve operational efficiency and effectiveness of operators, speeding up the process and allowing for more consistent and informed decision making from AI outputs. Such efforts require not only robust and reliable models but also relevant and understandable explanations to end users to successfully assist in achieving user goals, reducing bias, and improving trust in AI models. Cybersecurity operations settings represent one such context in which automation is vital for maintaining cyber defenses. AI models and xAI techniques were developed to aid analysts in identifying events and making decisions about flagged events (e.g. network attack). We instrumented the tools used for cybersecurity operations to unobtrusively collect data and evaluate the effectiveness of xAI tools. During a pilot study for deployment, we found that xAI tools, while intended to increase trust and improve efficiency, were not utilized heavily, nor did they improve analyst decision accuracy. Critical lessons were learned that impact the utility and adoptability of the technology, including consideration of end users, their workflows, their environments, and their propensity to trust xAI outputs.

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Building Embedded Systems Like It’s 1996

Ruotong Yu (Stevens Institute of Technology, University of Utah), Francesca Del Nin (University of Padua), Yuchen Zhang (Stevens Institute of Technology), Shan Huang (Stevens Institute of Technology), Pallavi Kaliyar (Norwegian University of Science and Technology), Sarah Zakto (Cyber Independent Testing Lab), Mauro Conti (University of Padua, Delft University of Technology), Georgios Portokalidis (Stevens Institute of…

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V-Range: Enabling Secure Ranging in 5G Wireless Networks

Mridula Singh (CISPA - Helmholtz Center for Information Security), Marc Roeschlin (ETH Zurich), Aanjhan Ranganathan (Northeastern University), Srdjan Capkun (ETH Zurich)

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Hiding My Real Self! Protecting Intellectual Property in Additive...

Sizhuang Liang (Georgia Institute of Technology), Saman Zonouz (Rutgers University), Raheem Beyah (Georgia Institute of Technology)

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