Ali Shoker, Rehana Yasmin, Paulo Esteves-Verissimo (Resilient Computing & Cybersecurity Center (RC3), KAUST)

The increasing interest in Autonomous Vehicles (AVs) is notable, driven by economic, safety, and performance reasons. Despite the growing adoption of recent AV architectures hinging on the advanced AI models, there is a significant number of fatal incidents. This paper calls for the need to revisit the fundamentals of building safety-critical AV architectures for mainstream adoption of AVs. The key tenets are: (i) finding a balance between intelligence and trustworthiness, considering efficiency and functionality brought in by AI/ML, while prioritizing indispensable safety and security; (ii) developing an advanced architecture that addresses the hard challenge of reconciling the stochastic nature of AI/ML with the determinism of driving control theory. Introducing Savvy, a novel AV architecture leveraging the strengths of intelligence and trustworthiness, this paper advocates for a safety-first approach by integrating design-time (deterministic) control rules with optimized decisions generated by dynamic ML models, all within constrained time-safety bounds. Savvy prioritizes early identification of critical obstacles, like recognizing an elephant as an object, ensuring safety takes precedence over optimal recognition just before a collision. This position paper outlines Savvy’s motivations and concepts, with ongoing refinements and empirical evaluations in progress.

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SOCs lead AI adoption: Transitioning Lessons to the C-Suite

Eric Dull, Drew Walsh, Scott Riede (Deloitte and Touche)

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SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing

Lian Gao (University of California Riverside), Yu Qu (University of California Riverside), Sheng Yu (University of California, Riverside & Deepbits Technology Inc.), Yue Duan (Singapore Management University), Heng Yin (University of California, Riverside & Deepbits Technology Inc.)

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GraphGuard: Detecting and Counteracting Training Data Misuse in Graph...

Bang Wu (CSIRO's Data61/Monash University), He Zhang (Monash University), Xiangwen Yang (Monash University), Shuo Wang (CSIRO's Data61/Shanghai Jiao Tong University), Minhui Xue (CSIRO's Data61), Shirui Pan (Griffith University), Xingliang Yuan (Monash University)

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