Model-based development, formal verification, and trusting software used in cars:
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Implementing a formal verification tool for Rust, supporting the same API as property testing libraries!
https://alastairreid.github.io/why-not-both/
Requires a remarkable amount of glue code, so this doesn't feel like a mature domain yet.
Invited talk: Safety Verification for Deep Neural Networks: https://popl20.sigplan.org/details/VMCAI-2020-papers/22/Safety-and-Robustness-for-Deep-Learning-with-Provable-Guarantees
How do we verify that a DNN is robust to adversarial attacks? How do we quantify safety? This approach looks at image features (Sift) and verifies all perturbations within a region.
Day 1 at @poplconf had a bunch of interesting talks at VMCAI (Verification, Model Checking, and Abstract Interpretation). https://popl20.sigplan.org/home/VMCAI-2020
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