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Found 7 papers, 0 papers with code
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizers by Exploiting Strong Convexity
%on how to exploit strong convexity to further improve the convergence rate of AdaBelief.
Data Sanity Check for Deep Learning Systems via Learnt Assertions
But the statistical nature of DL makes it quite vulnerable to invalid inputs, i. e., those cases that are not considered in the training phase of a DL model.
Detecting Deep Neural Network Defects with Data Flow Analysis
Deep neural networks (DNNs) are shown to be promising solutions in many challenging artificial intelligence tasks.
DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation
Our obfuscation approach is very effective to protect the critical structure of a deep learning model from being exposed to attackers.
Cryptography and Security
On Secure and Usable Program Obfuscation: A Survey
On the other hand, the performance requirement for model-oriented obfuscation approaches is too weak to develop practical program obfuscation solutions.
Cryptography and Security Software Engineering
N-Version Obfuscation: Impeding Software Tampering Replication with Program Diversity
Our idea is to impede the replication of tampering via program diversification, and thus increasing the complexity to break the whole software system.
Cryptography and Security Programming Languages
