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cs.SE2025
Assessing Reliability of Statistical Maximum Coverage Estimators in Fuzzing
Danushka Liyanage, Nelum Attanayake, Zijian Luo +1
Background: Fuzzers are often guided by coverage, making the estimation of maximum achievable coverage a key concern in fuzzing. However, achieving 100% coverage is infeasible for…
cs.FL2025
Example-Free Learning of Regular Languages with Prefix Queries
Eve Fernando, Sasha Rubin, Rahul Gopinath
Language learning refers to the problem of inferring a mathematical model which accurately represents a formal language. Many language learning algorithms learn by asking certain t…