Pages that link to "Item:Q1989607"
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The following pages link to Breaking cryptographic implementations using deep learning techniques (Q1989607):
Displaying 22 items.
- Power analysis attack: an approach based on machine learning (Q486132) (← links)
- Federated learning in side-channel analysis (Q831663) (← links)
- Subsampling and knowledge distillation on adversarial examples: new techniques for deep learning based side channel evaluations (Q832386) (← links)
- On the influence of optimizers in deep learning-based side-channel analysis (Q832396) (← links)
- Profiled power analysis attacks using convolutional neural networks with domain knowledge (Q1726696) (← links)
- A deeper look at machine learning-based cryptanalysis (Q2056717) (← links)
- Wavelet scattering transform and ensemble methods for side-channel analysis (Q2106686) (← links)
- Kilroy was here: the first step towards explainability of neural networks in profiled side-channel analysis (Q2106693) (← links)
- Online performance evaluation of deep learning networks for profiled side-channel analysis (Q2106696) (← links)
- How to fool a black box machine learning based side-channel security evaluation (Q2120993) (← links)
- Learning when to stop: a mutual information approach to prevent overfitting in profiled side-channel analysis (Q2145285) (← links)
- Fake it till you make it: data augmentation using generative adversarial networks for all the crypto you need on small devices (Q2152167) (← links)
- Reinforcement learning-based design of side-channel countermeasures (Q2154063) (← links)
- When Similarities Among Devices are Taken for Granted: Another Look at Portability (Q5048981) (← links)
- Revisiting mutual information analysis: multidimensionality, neural estimation and optimality proofs (Q6054729) (← links)
- TransNet: shift invariant transformer network for side channel analysis (Q6103091) (← links)
- Deep Learning Side-Channel Analysis on Large-Scale Traces (Q6485959) (← links)
- Convolutional neural network based side-channel attacks with customized filters (Q6536242) (← links)
- Side-channel analysis on lattice-based KEM using multi-feature recognition -- the case study of Kyber (Q6547870) (← links)
- Profiling side-channel attacks on Dilithium. A small bit-fiddling leak breaks it all (Q6619833) (← links)
- Not so difficult in the end: breaking the lookup table-based affine masking scheme (Q6620035) (← links)
- Towards private deep learning-based side-channel analysis using homomorphic encryption. Opportunities and limitations (Q6630415) (← links)
