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RENN: Efficient Reverse Execution with Neural-Network-Assisted Alias Analysis.

, , , , , , , and . ASE, page 924-935. IEEE, (2019)

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Some Results on the Improved Bound and Construction of Optimal $(r, \ \delta)$ LRCs., , , , , and . ICCC, page 365-370. IEEE, (2022)PET: Prevent Discovered Errors from Being Triggered in the Linux Kernel., , and . USENIX Security Symposium, page 4193-4210. USENIX Association, (2023)An In-depth Analysis of Duplicated Linux Kernel Bug Reports., , , , , , and . NDSS, The Internet Society, (2022)RENN: Efficient Reverse Execution with Neural-Network-Assisted Alias Analysis., , , , , , , and . ASE, page 924-935. IEEE, (2019)A Systematic Study of Elastic Objects in Kernel Exploitation., , and . CCS, page 1165-1184. ACM, (2020)GREBE: Unveiling Exploitation Potential for Linux Kernel Bugs., , , , , , and . SP, page 2078-2095. IEEE, (2022)FUZE: Towards Facilitating Exploit Generation for Kernel Use-After-Free Vulnerabilities., , , , , and . USENIX Security Symposium, page 781-797. USENIX Association, (2018)Towards the Detection of Inconsistencies in Public Security Vulnerability Reports., , , , , and . USENIX Security Symposium, page 869-885. USENIX Association, (2019)A New Oversampling Method Based on Triangulation of Sample Space., , , , and . IEEE Trans. Syst. Man Cybern. Syst., 54 (2): 774-786 (February 2024)CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning., , , and . SpaceSec, The Internet Society, (2023)