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Search Based Clustering for Protecting Software with Diversified Updates.

, , , , and . SSBSE, volume 9962 of Lecture Notes in Computer Science, page 159-175. (2016)

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Small World with High Risks: A Study of Security Threats in the npm Ecosystem., , , and . USENIX Security Symposium, page 995-1010. USENIX Association, (2019)SecBench.js: An Executable Security Benchmark Suite for Server-Side JavaScript., , , , and . ICSE, page 1059-1070. IEEE, (2023)Leaky Images: Targeted Privacy Attacks in the Web., and . USENIX Security Symposium, page 923-939. USENIX Association, (2019)Saying 'hi!' is not enough: mining inputs for effective test generation., , and . ASE, page 44-49. IEEE Computer Society, (2017)SYNODE: Understanding and Automatically Preventing Injection Attacks on NODE.JS., , and . NDSS, The Internet Society, (2018)Mir: Automated Quantifiable Privilege Reduction Against Dynamic Library Compromise in JavaScript., , , , , , and . CoRR, (2020)Jack-in-the-box: An Empirical Study of JavaScript Bundling on the Web and its Security Implications., and . CCS, page 3198-3212. ACM, (2023)SandDriller: A Fully-Automated Approach for Testing Language-Based JavaScript Sandboxes., and . USENIX Security Symposium, page 3457-3474. USENIX Association, (2023)Bilingual Problems: Studying the Security Risks Incurred by Native Extensions in Scripting Languages., , , and . USENIX Security Symposium, page 6133-6150. USENIX Association, (2023)Search Based Clustering for Protecting Software with Diversified Updates., , , , and . SSBSE, volume 9962 of Lecture Notes in Computer Science, page 159-175. (2016)