Titlebook: AI Verification; First International Guy Avni,Mirco Giacobbe,Christian Schilling Conference proceedings 2024 The Editor(s) (if applicable)

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書目名稱AI Verification影響因子(影響力)




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,Concept-Based Analysis of?Neural Networks via?Vision-Language Models,cifications for vision tasks and the lack of efficient verification procedures. In this paper, we propose to leverage emerging multimodal, vision-language, foundation models (VLMs) as a lens through which we can reason about vision models. VLMs have been trained on a large body of images accompanied

爵士樂

,Parallel Verification for?,-Equivalence of?Neural Network Quantization,emory. However, it also brings in loss of generalization and even potential errors to the models. In this work, we propose a parallelization technique for formally . the . between quantized models and their original real-valued counterparts. In order to guarantee both . and ., mixed integer linear p

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CLEFT

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浪費(fèi)物質(zhì)

Iterative Counter-Example Guided Robustness Verification for Neural Networks,y considering different types of abstraction techniques focused toward the non-linearity in the computation in the neural network. We propose a complementary approach of abstracting the neural network by discarding the neurons. Our abstraction is based on the robustness property being verified. We t

創(chuàng)造性

Grundkurs Microsoft Dynamics AXout the laborious task of manual heuristic creation and tuning, data-driven approaches demonstrate significant potential by extracting crucial patterns from a small set of data points. However, at present, symbolic methods generally surpass data-driven solvers in performance. In this work, we develo