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FuZZan: Efficient Sanitizer Metadata Design for Fuzzing.

, , , and . USENIX ATC, page 249-263. USENIX Association, (2020)

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Practical Type and Memory Safety Violation Detection Mechanisms. Purdue University, USA, (2020)TypeSan: Practical Type Confusion Detection., , , , , , and . ACM Conference on Computer and Communications Security, page 517-528. ACM, (2016)SWARMFLAWFINDER: Discovering and Exploiting Logic Flaws of Swarm Algorithms., , , and . SP, page 1808-1825. IEEE, (2022)FuZZan: Efficient Sanitizer Metadata Design for Fuzzing., , , and . USENIX ATC, page 249-263. USENIX Association, (2020)PoLPer: Process-Aware Restriction of Over-Privileged Setuid Calls in Legacy Applications., , , , , , and . CODASPY, page 209-220. ACM, (2019)A distributed monitoring architecture for AMIs: minimizing the number of monitoring nodes and enabling collided packet recovery., , , and . SEGS@CCS, page 35-40. ACM, (2013)Pspray: Timing Side-Channel based Linux Kernel Heap Exploitation Technique., , , , and . USENIX Security Symposium, page 6825-6842. USENIX Association, (2023)Certified Malware in South Korea: A Localized Study of Breaches of Trust in Code-Signing PKI Ecosystem., , , and . ICICS (1), volume 12918 of Lecture Notes in Computer Science, page 59-77. Springer, (2021)LT-OLSR: Attack-tolerant OLSR against link spoofing., , , and . LCN, page 216-219. IEEE Computer Society, (2012)HexType: Efficient Detection of Type Confusion Errors for C++., , , , and . CCS, page 2373-2387. ACM, (2017)