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Found 3 papers, 1 papers with code
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark
We have identified three principles for the proposed "comparing different MI attacks" methodology, and we have designed and implemented the MIBench benchmark with 84 evaluation scenarios for each dataset.
Robust Deep Compressive Sensing with Recurrent-Residual Structural Constraints
As the first deep CS framework efficiently bridging adaptive online optimization, the R$^2$CS-NET integrates the robustness of online optimization with the efficiency and nonlinear capacity of deep learning methods.
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network
A heterogeneous, fully convolutional, mechanism is proposed to particularly address the uncorrelated nature of different spectral channels.
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