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Found 4 papers, 1 papers with code
Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network
The image of retinal fundus is the main evaluating strategy for the glaucoma and diabetic retinopathy detection.
Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing
We present a comprehensive framework, associated algorithms, and a tool flow for obtaining an optimal set of features, training a targeted machine learning model, detecting suspect nets, and identifying Trojan circuitry from the suspect nets.
Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things
For these applications, image compression commonly requires: (1) maintaining features for coarse-grain pattern recognition instead of the high-level details for human perception due to machine-to-machine communications; (2) high compression ratio that leads to improved energy and transmission efficiency; (3) large dynamic range of compression and an easy trade-off between compression factor and quality of reconstruction to accommodate a wide diversity of IoT applications as well as their time-varying energy/performance needs.
SAIL: Machine Learning Guided Structural Analysis Attack on Hardware Obfuscation
Obfuscation is a technique for protecting hardware intellectual property (IP) blocks against reverse engineering, piracy, and malicious modifications.
Cryptography and Security
