SIGuard Guards Secure Inference Against MIAs
Researchers from RMIT University, CSIRO Data61 and University of Melbourne present SIGuard at NDSS 2025, a framework defending MPC-based secure inference against membership inference attacks. SIGuard perturbs encrypted model predictions via an MPC and machine-learning co-design, reducing attack accuracy to near random while adding 1.1s overhead and occupying about 24.8% of a 3.29s ResNet34 CIFAR-10 inference. The protocol integrates with existing MPC pipelines without degrading accuracy.
Scoring Rationale
High novelty and practical defense with strong NDSS credibility; limited scope focused on MPC-based secure inference.
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