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Elasticlave: An Efficient Memory Model for Enclaves.

, , , and . USENIX Security Symposium, page 4111-4128. USENIX Association, (2022)

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LPGNet: Link Private Graph Networks for Node Classification., , , and . CCS, page 1813-1827. ACM, (2022)Scalable Quantitative Verification For Deep Neural Networks., , , and . ICSE, page 312-323. IEEE, (2021)(Invited Paper) on the Security of Blockchain Consensus Protocols., , , and . ICISS, volume 11281 of Lecture Notes in Computer Science, page 465-480. Springer, (2018)Unforgeability in Stochastic Gradient Descent., , , , and . CCS, page 1138-1152. ACM, (2023)SmashEx: Smashing SGX Enclaves Using Exceptions., , , , and . CCS, page 779-793. ACM, (2021)SynGuar: guaranteeing generalization in programming by example., , , and . ESEC/SIGSOFT FSE, page 677-689. ACM, (2021)Elasticlave: An Efficient Memory Model for Enclaves., , , and . USENIX Security Symposium, page 4111-4128. USENIX Association, (2022)FlowMatrix: GPU-Assisted Information-Flow Analysis through Matrix-Based Representation., , , , , , and . USENIX Security Symposium, page 2567-2584. USENIX Association, (2022)Neuro-Symbolic Execution: Augmenting Symbolic Execution with Neural Constraints., , , , and . NDSS, The Internet Society, (2019)BesFS: A POSIX Filesystem for Enclaves with a Mechanized Safety Proof., , , , , and . USENIX Security Symposium, page 523-540. USENIX Association, (2020)