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cs.CR2026
Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks
Nges Brian Njungle, Eric Jahns, Michel A. Kinsy
Privacy-preserving machine learning (PPML) has become increasingly important in applications where sensitive data must remain confidential. Homomorphic Encryption (HE) enables comp…
cs.CR2026
DALC-CT: Dynamic Analysis of Low-Level Code Traces for Constant-Time Verification
Nges Brian Njungle, Edwin P. Kayang, Mishel J. Paul +1
Timing side-channel attacks exploit variations in program execution time to recover sensitive information. Cryptographic implementations are especially vulnerable to these attacks,…