Nges Brian Njungle
2 indexed papers
Recent (6 mo)
2With code
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226
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Crypto×2ML×1Prog. Lang.×1
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2026
Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks
This paper develops optimized algorithms and a pipeline architecture for high-throughput, memory-efficient batch processing of encrypted neural network inference, significantly improving performance over state-of-the-art methods.
DALC-CT: Dynamic Analysis of Low-Level Code Traces for Constant-Time Verification
The paper proposes DALC-CT, a dynamic analysis tool that verifies the constant-time property of cryptographic code by comparing instruction mix distributions across multiple execution traces.
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Papers
cs.CRcs.LGRecentApr 18, 2026
Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks
This paper develops optimized algorithms and a pipeline architecture for high-throughput, memory-efficient batch processing of encrypted neural network inference, significantly improving performance o…
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cs.CRcs.PLRecentApr 18, 2026