Confirm
发表于 2025-3-26 21:10:25
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abysmal
发表于 2025-3-27 01:40:34
DeepSafe: A Data-Driven Approach for Assessing Robustness of Neural Networkson are guaranteed to be classified correctly. We also introduce the concept of ., which ensures that the neural network is guaranteed not to misclassify inputs within a region to a specific target (adversarial) label. We evaluate DeepSafe on a neural network implementation of a controller for the ne
孵卵器
发表于 2025-3-27 08:06:11
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Carcinogen
发表于 2025-3-27 11:45:28
Robustness Testing of Intermediate Verifiersf robustness in the verifier. We implemented our technique in a tool called . ., which operates on programs written in the popular Boogie language for verification—used as intermediate representation in numerous program verifiers. Experiments targeting 135 Boogie programs indicate that brittle behav
血统
发表于 2025-3-27 15:43:31
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修正案
发表于 2025-3-27 18:56:58
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entrance
发表于 2025-3-28 00:11:12
Recursive Online Enumeration of All Minimal Unsatisfiable Subsetsan be terminated at any time. The key feature of our algorithm is that it minimises the number of satisfiability tests and thus speeds up the computation. The algorithm is applicable to an arbitrary constraint domain. We benchmark our algorithm against the state-of-the-art algorithm Marco on the Boo
outrage
发表于 2025-3-28 04:34:02
Modular Verification of Concurrent Programs via Sequential Model Checkingss initiates queries to its “environment” (which may contain multiple threads). Those queries are answered by sequential verification, if the environment consists of a single thread, or, otherwise, by applying the same hierarchical algorithm on the environment. Our technique is fully automatic, and
热情赞扬
发表于 2025-3-28 06:39:47
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DAFT
发表于 2025-3-28 11:27:43
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