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Found 5 papers, 0 papers with code
DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking
The functionality of a deep learning (DL) model can be stolen via model extraction where an attacker obtains a surrogate model by utilizing the responses from a prediction API of the original model.
Robust and Attack Resilient Logic Locking with a High Application-Level Impact
(3) Our experiments show that SAS and RSAS exhibit better SAT resilience than SFLL and have similar effectiveness.
Cryptography and Security Hardware Architecture Formal Languages and Automata Theory
In-situ Stochastic Training of MTJ Crossbar based Neural Networks
Owing to high device density, scalability and non-volatility, Magnetic Tunnel Junction-based crossbars have garnered significant interest for implementing the weights of an artificial neural network.
Neural Trojans
In many cases, it is more practical to use a neural network intellectual property (IP) that an IP vendor has already trained.
Cryptography and Security
Power Optimizations in MTJ-based Neural Networks through Stochastic Computing
In this work, we propose an energy-efficient use of MTJs, which exhibit probabilistic switching behavior, as Stochastic Number Generators (SNGs), which forms the basis of our NN implementation in the SC domain.
