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Security of NVMe Offloaded Data in Large-Scale Machine Learning

, , and . To appear soon at the European Symposium on Research in Computer Security (ESORICS), (2023)

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ClearStamp: A Human-Visible and Robust Model-Ownership Proof based on Transposed Model Training, , and . To Appear in the 33rd USENIX Security Symposium (USENIX Security 2024), (2024)Cloud-Based Machine Learning Models as Covert Communication Channels, , and . To appear in the 19th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2024), (2024)ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training, , and . ArXiv | arXiv:2310.16453v1, (October 2023)MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers, and . ACM Conference on Computer and Communications Security (CCS), (2023)MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers., and . CCS, page 1526-1540. ACM, (2023)ClearStamp: A Human-Visible and Robust Model-Ownership Proof based on Transposed Model Training, , and . To Appear in the 33rd USENIX Security Symposium (USENIX Security 2024), (2024)Ensuring Integrity of NVMe Offloaded Data in Large-Scale Machine Learning, , and . (2023)DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification, , and . arXiv:2403.06581, (March 2024)Security of NVMe Offloaded Data in Large-Scale Machine Learning., , and . ESORICS (4), volume 14347 of Lecture Notes in Computer Science, page 143-163. Springer, (2023)DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification, , and . arXiv:2403.06581, (March 2024)