This book constitutes the refereed proceedings of the 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023, held in Be'er Sheva, Israel, in June 2023.
The 21 full and 15 short papers were carefully reviewed and selected from 70 submissions. They deal with the theory, design, analysis, implementation, and application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.
Localhost Detour from Public to Private Networks.- Pseudo-Random Walk on Ideals: Practical Speed-Up in Relation Collection for Class Group Computation.- Efficient Extended GCD and Class Groups from Secure Integer Arithmetic.- On Distributed Randomness Generation in Blockchains.- Efficient Skip Connections Realization for Secure Inference on Encrypted Data.- Single Instance Self-Masking via Permutations
A Fusion-Based Framework for Unsupervised Single Image Super-Resolution.- Generating One-Hot Maps under Encryption
Building blocks for LSTM homomorphic evaluation with TFHE.- CANdito: Improving Payload-based Detection of Attacks on Controller Area Networks.- Using Machine Learning Models for Earthquake Magnitude Prediction in California, Japan and Israel.- A Bag of Tokens Neural Network to Predict Webpage Age.- Correlations Between (Nonlinear) Combiners of Input and Output of Random Functions and Permutations (Short Paper).- PPAuth: A Privacy-Preserving Framework for Authentication of Digital Image.- Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO.- The use of Performance-Counters to perform side-channel attacks.- HAMLET: A Transformer Based Approach for Money Laundering Detection.- Hollow-Pass: A Dual-View Pattern Password Againlăő
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