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Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis

, , , , and . ArXiv | arXiv:2210.07714, (2022)

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On the Security of Strong Memristor-based Physically Unclonable Functions., , , and . DAC, page 1-6. IEEE, (2020)One for All and All for One: GNN-based Control-Flow Attestation for Embedded Devices., , , , , and . CoRR, (2024)RIP-RH: Preventing Rowhammer-based Inter-Process Attacks., , , , and . AsiaCCS, page 561-572. ACM, (2019)FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks., , , , and . ACSAC, page 647-661. ACM, (2023)Peek-a-boo: i see your smart home activities, even encrypted!, , , , , , , , and . WISEC, page 207-218. ACM, (2020)HomeSnitch: behavior transparency and control for smart home IoT devices., , , , , and . WiSec, page 128-138. ACM, (2019)US-AID: Unattended Scalable Attestation of IoT Devices., , and . SRDS, page 21-30. IEEE Computer Society, (2018)ARM2GC: Succinct Garbled Processor for Secure Computation., , , , and . DAC, page 112. ACM, (2019)Control Behavior Integrity for Distributed Cyber-Physical Systems., , , , , , and . ICCPS, page 30-40. IEEE, (2020)SafeTEE: Combining Safety and Security on ARM-based Microcontrollers., , , , and . DATE, page 520-525. IEEE, (2022)