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SoK: Deep Learning-based Physical Side-channel Analysis
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Second Look at the ASCAD Databases
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Deep Learning-Based Side-Channel Analysis Against AES Inner Rounds
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Clustering Algorithms for Non-profiled Single-Execution Attacks on Exponentiations
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Breaking Cryptographic Implementations Using Deep Learning Techniques
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Scaling Trends for Dual-Rail Logic Styles Against Side-Channel Attacks: A Case-Study
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Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures
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Private Circuits: Securing Hardware against Probing Attacks
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A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks
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Intelligent Machine Homicide
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Deep learning mitigates but does not annihilate the need of aligned traces and a generalized ResNet model for side-channel attacks
inferredcites →https://doi.org/10.1007/s13389-019-00212-8openalex-snapshot
Applications of machine learning techniques in side-channel attacks: a survey
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Deep learning for side-channel analysis and introduction to ASCAD database
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Systematic Side-Channel Analysis of Curve25519 with Machine Learning
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Advances in neural information processing systems 7
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Lecture Notes in Computer Science 1205
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inferredcites →https://doi.org/10.1109/access.2022.3185995openalex-snapshot
Fully-Digital Randomization Based Side-Channel Security—Toward Ultra-Low Cost-per-Security
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
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CNN architectures for large-scale audio classification
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2021 22nd International Symposium on Quality Electronic Design (ISQED)
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25.3 A 128b AES Engine with Higher Resistance to Power and Electromagnetic Side-Channel Attacks Enabled by a Security-Aware Integrated All-Digital Low-Dropout Regulator
inferredcites →https://doi.org/10.1109/isscc19947.2020.9062997openalex-snapshot
27.3 EM and Power SCA-Resilient AES-256 in 65nm CMOS Through >350× Current-Domain Signature Attenuation
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inferredcites →https://doi.org/10.1109/sp.2019.00013openalex-snapshot
SoK: Security Evaluation of Home-Based IoT Deployments
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SoK: Computer-Aided Cryptography
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SCAUL: Power Side-Channel Analysis With Unsupervised Learning
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I Choose You: Automated Hyperparameter Tuning for Deep Learning-Based Side-Channel Analysis
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Back to the Basics: Seamless Integration of Side-Channel Pre-Processing in Deep Neural Networks
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Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup
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Practical Approaches Toward Deep-Learning-Based Cross-Device Power Side-Channel Attack
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A Systematic Evaluation of Profiling Through Focused Feature Selection
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EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures
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The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations
inferredcites →https://doi.org/10.13154/tches.v2020.i1.1-36openalex-snapshot
Methodology for Efficient CNN Architectures in Profiling Attacks
inferredcites →https://doi.org/10.46586/tches.v2018.i1.209-237openalex-snapshot
Leakage Detection with the x2-Test
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Non-Profiled Deep Learning-based Side-Channel attacks with Sensitivity Analysis
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Deep Learning to Evaluate Secure RSA Implementations
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inferredcites →https://doi.org/10.46586/tches.v2020.i2.1-25openalex-snapshot
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inferredcites →https://doi.org/10.46586/tches.v2020.i3.73-96openalex-snapshot
A Novel Evaluation Metric for Deep Learning-Based Side Channel Analysis and Its Extended Application to Imbalanced Data
inferredcites →https://doi.org/10.46586/tches.v2020.i4.337-364openalex-snapshot
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inferredcites →https://doi.org/10.46586/tches.v2020.i4.389-415openalex-snapshot
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inferredcites →https://doi.org/10.46586/tches.v2021.i1.25-55openalex-snapshot
Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis
inferredcites →https://doi.org/10.46586/tches.v2021.i1.343-372openalex-snapshot
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inferredcites →https://doi.org/10.46586/tches.v2021.i3.235-274openalex-snapshot
Pay Attention to Raw Traces: A Deep Learning Architecture for End-to-End Profiling Attacks
inferredcites →https://doi.org/10.46586/tches.v2021.i3.552-598openalex-snapshot
DL-LA: Deep Learning Leakage Assessment
inferredcites →https://doi.org/10.46586/tches.v2021.i3.60-96openalex-snapshot
Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks
inferredcites →https://doi.org/10.46586/tches.v2021.i3.677-707openalex-snapshot
Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis
inferredcites →https://doi.org/10.46586/tches.v2022.i3.413-437openalex-snapshot
The Best of Two Worlds: Deep Learning-assisted Template Attack
inferredcites →https://doi.org/10.46586/tches.v2022.i4.828-861openalex-snapshot
Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1702.01923openalex-snapshot
Comparative Study of CNN and RNN for Natural Language Processing
inferredcites →https://doi.org/10.48550/arxiv.2006.03995openalex-snapshot
SCARL: Side-Channel Analysis with Reinforcement Learning on the Ascon Authenticated Cipher
inferredcites →https://doi.org/10.48550/arxiv.2007.05285openalex-snapshot
Enhancing the Performance of Practical Profiling Side-Channel Attacks Using Conditional Generative Adversarial Networks
inferredcites →https://doi.org/10.5281/zenodo.3609788openalex-snapshot
REASSURE (H2020 731591) ECC Dataset
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Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-981-97-2671-4_16openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13369-023-08341-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13389-024-00363-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133084openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.phycom.2025.102710openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1402-4896/add29copenalex-snapshot
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inferred← citeshttps://doi.org/10.1109/acit62333.2024.10712474openalex-snapshot
Enhancing Side-Channel Attacks Prediction using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/acsac67867.2025.00067openalex-snapshot
EM-Flow: Advanced Electromagnetic Control Flow Verification for Embedded Systems
inferred← citeshttps://doi.org/10.1109/asid60355.2023.10426150openalex-snapshot
Power Analysis based on Deep Learning for Multiple Implementations of Cryptographic Algorithms
inferred← citeshttps://doi.org/10.1109/cnml68938.2026.11452358openalex-snapshot
Guessing Entropy-Guided Bayesian Hyperparameter Optimization for Side-Channel Attacks
inferred← citeshttps://doi.org/10.1109/dac56929.2023.10247721openalex-snapshot
Lightning Talk: The Incredible Shrinking Black Box Model
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132714openalex-snapshot
Cross-Attention for AES Mode Variation in Side-Channel Analysis
inferred← citeshttps://doi.org/10.1109/dft66274.2025.11257444openalex-snapshot
A Neural Network-Based Classifier for Glitch Detection in Clock Traces
inferred← citeshttps://doi.org/10.1109/dsc61021.2023.10354154openalex-snapshot
Highly Optimized Curve448 and Ed448 design in wolfSSL and Side-Channel Evaluation on Cortex-M4
inferred← citeshttps://doi.org/10.1109/dsins68311.2025.11329609openalex-snapshot
Deep Learning-Based Hierarchical Reverse Instruction Analysis Method
inferred← citeshttps://doi.org/10.1109/dsis67228.2025.11390627openalex-snapshot
Data Preprocessing for Side-Channel Analysis Based on KAN Convolutional Autoencoder
inferred← citeshttps://doi.org/10.1109/eurosp68448.2026.00019openalex-snapshot
Breaking ECDSA with Electromagnetic Side-Channel Attacks: Challenges and Practicality on Modern Smartphones
inferred← citeshttps://doi.org/10.1109/host55118.2023.10133495openalex-snapshot
TripletPower: Deep-Learning Side-Channel Attacks over Few Traces
inferred← citeshttps://doi.org/10.1109/host55342.2024.10545382openalex-snapshot
TinyPower: Side-Channel Attacks with Tiny Neural Networks
inferred← citeshttps://doi.org/10.1109/host64725.2025.11050048openalex-snapshot
Micropower: Micro Neural Networks for Side-Channel Attacks
inferred← citeshttps://doi.org/10.1109/host64725.2025.11050075openalex-snapshot
Breaking Confidentiality of XTS-AES Encrypted Data at Rest on Microprocessors Using Electromagnetic Side-Channel Attacks
inferred← citeshttps://doi.org/10.1109/host68814.2026.11604695openalex-snapshot
SnoopyPower! Remote Power Attacks on Cache and Coherence Paths
inferred← citeshttps://doi.org/10.1109/host68814.2026.11604810openalex-snapshot
Double Strike: Breaking Approximation-Based Side-Channel Countermeasures for DNNs
inferred← citeshttps://doi.org/10.1109/icaect63952.2025.10958975openalex-snapshot
Effectual Side Channel Attack Detection Using Convolutional Neural Network Optimized CMP-COA
inferred← citeshttps://doi.org/10.1109/iceccs70432.2026.11651172openalex-snapshot
A Multidimensional Taxonomy of Hardware Security Threats and Countermeasures for Resource-Constrained IoT Embedded Devices
inferred← citeshttps://doi.org/10.1109/icicc63565.2024.10780449openalex-snapshot
LCAF: A Novel Side-Channel Analysis Method Based on Self-Attention Mechanism
inferred← citeshttps://doi.org/10.1109/ieeeconf60004.2024.10942736openalex-snapshot
DL-SCADS: Deep Learning-Based Post-Silicon Side-Channel Analysis Using Decomposed Signal
inferred← citeshttps://doi.org/10.1109/iolts56730.2022.9897507openalex-snapshot
Towards AI-Enabled Hardware Security: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/iscas66217.2026.11562739openalex-snapshot
TRACEFORMER: Trace-Efficient and Robust Transformer-Based Late-Fusion Side-Channel Analysis of Masked AES
inferred← citeshttps://doi.org/10.1109/jiot.2024.3468431openalex-snapshot
An Intelligent Framework for Cluster-Based Side-Channel Analysis on Public-Key Cryptosystems
inferred← citeshttps://doi.org/10.1109/jiot.2025.3572953openalex-snapshot
An Effective Tool for Traces Preprocessing in Side-Channel Analysis: Ridge Energies Extraction From Synchrosqueezing Wavelet Transform
inferred← citeshttps://doi.org/10.1109/jlt.2025.3619071openalex-snapshot
GGPD: Defending Against Phase Gradient Attack on Photonic Neural Networks
inferred← citeshttps://doi.org/10.1109/mdat.2023.3288808openalex-snapshot
Tipping the Balance: Imbalanced Classes in Deep-Learning Side-Channel Analysis
inferred← citeshttps://doi.org/10.1109/mdat.2024.3510421openalex-snapshot
Still Making Noise: Improving Deep- Learning-Based Side- Channel Analysis
inferred← citeshttps://doi.org/10.1109/miccis63508.2024.00039openalex-snapshot
Side Channel Analysis Based on Convolutional Neural Network Filtering
inferred← citeshttps://doi.org/10.1109/msn60784.2023.00075openalex-snapshot
Efficient Side-Channel Attack through Balanced Labels Compression and Variational Autoencoder
inferred← citeshttps://doi.org/10.1109/mwscas67364.2026.11680599openalex-snapshot
Distill-and-Rank: Evaluating Fast Transformer Models for Keyless PQC Side-Channel Recovery
inferred← citeshttps://doi.org/10.1109/naecon65708.2025.11235438openalex-snapshot
DACOIT: Deep-Learning Assisted CNN Ensemble for Side-Channel Attacks on Tiny AES Devices
inferred← citeshttps://doi.org/10.1109/paine62042.2024.10792754openalex-snapshot
Cover to Uncover: Comprehensive Study of Occlusion in DL-based SCA
inferred← citeshttps://doi.org/10.1109/paine66113.2025.11320217openalex-snapshot
DeepAttack: X-Deep Side-Channel Attacks on Encryption Algorithm
inferred← citeshttps://doi.org/10.1109/qce60285.2024.00210openalex-snapshot
Masking Countermeasures Against Side-Channel Attacks on Quantum Computers
inferred← citeshttps://doi.org/10.1109/sensors56945.2023.10324872openalex-snapshot
SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors
inferred← citeshttps://doi.org/10.1109/swc57546.2023.10448897openalex-snapshot
DLSCA: Improving Cross-Device Side-Channel Analysis Using Device Discrepancy Correction
inferred← citeshttps://doi.org/10.1109/tc.2025.3576934openalex-snapshot
High-Performance Hardware Implementation of Crystals-Dilithium Based on Improved MDC-NTT
inferred← citeshttps://doi.org/10.1109/tcad.2025.3626459openalex-snapshot
KD-SCA: Improving Lightweight CNN Model Profiling Side-Channel Analysis With Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/tcad.2026.3654878openalex-snapshot
An Open-Source Framework for Efficient Side-Channel Analysis on Cryptographic Implementations
inferred← citeshttps://doi.org/10.1109/tce.2024.3372018openalex-snapshot
Secure AI for 6G Mobile Devices: Deep Learning Optimization Against Side-Channel Attacks
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3278857openalex-snapshot
Ablation Analysis for Multi-Device Deep Learning-Based Physical Side-Channel Analysis
inferred← citeshttps://doi.org/10.1109/tifs.2024.3490782openalex-snapshot
LD-PA: Distilling Univariate Leakage for Deep Learning-Based Profiling Attacks
inferred← citeshttps://doi.org/10.1109/tifs.2025.3611696openalex-snapshot
Enhancing Model Generalization for Efficient Cross-Device Side-Channel Analysis
inferred← citeshttps://doi.org/10.1109/tifs.2025.3611788openalex-snapshot
Feature Reconstruction: Far Field EM Side-Channel Attacks in Complex Environment
inferred← citeshttps://doi.org/10.1109/tifs.2026.3688912openalex-snapshot
On Exploiting Single-Trace Side-Channel Leakage of SEAL-Embedded Library
inferred← citeshttps://doi.org/10.1109/tifs.2026.3734751openalex-snapshot
HypSCA: A Hyperbolic Embedding Method for Enhanced Side-Channel Attack
inferred← citeshttps://doi.org/10.1109/tmc.2025.3548954openalex-snapshot
MASA: Multimodal Federated Learning Through Modality-Aware and Secure Aggregation
inferred← citeshttps://doi.org/10.1109/tnse.2026.3727620openalex-snapshot
Data Poisoning Detection for Secure Federated Learning With Dropout-Resilient Aggregation
inferred← citeshttps://doi.org/10.1109/wispnet64060.2025.11005231openalex-snapshot
Artificial Intelligence Assisted Side-Channel Analysis: Security Assessment Challenges
inferred← citeshttps://doi.org/10.1145/3563391openalex-snapshot
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
inferred← citeshttps://doi.org/10.1145/3600160.3600161openalex-snapshot
Automated Side-Channel Attacks using Black-Box Neural Architecture Search
inferred← citeshttps://doi.org/10.1145/3605769.3623996openalex-snapshot
Beyond the Last Layer: Deep Feature Loss Functions in Side-channel Analysis
inferred← citeshttps://doi.org/10.1145/3649476.3658800openalex-snapshot
LDL-SCA: Linearized Deep Learning Side-Channel Attack Targeting Multi-tenant FPGAs✱
inferred← citeshttps://doi.org/10.1145/3672608.3707857openalex-snapshot
Detecting Cache-based Side-Channel Attacks by Leveraging Mesh Interconnect Traffic Monitoring
inferred← citeshttps://doi.org/10.1145/3678890.3678900openalex-snapshot
A Second Look at the Portability of Deep Learning Side-Channel Attacks over EM Traces
inferred← citeshttps://doi.org/10.1145/3696630.3728497openalex-snapshot
GAFLERNA Ahoy! Integrating EM Side-Channel Analysis into Traditional Fuzzing Workflows
inferred← citeshttps://doi.org/10.1145/3703935.3704041openalex-snapshot
Side-channel attack based on CAP model
inferred← citeshttps://doi.org/10.1145/3723890.3723921openalex-snapshot
Understanding Deep Learning RF Wireless Side-Channel Attacks: Perspectives on Noisy Scenarios
inferred← citeshttps://doi.org/10.1145/3758100openalex-snapshot
Exploring the Contribution of Hardware Shuffling in Securing Low-Cost Symmetric Encryption Devices against Power-Based Side-Channel Attacks: Case Study of an AES-128 on FPGA
inferred← citeshttps://doi.org/10.1145/3769102.3774377openalex-snapshot
Poster: Hybrid Monitoring for Side-Channel Security in Edge SoCs
inferred← citeshttps://doi.org/10.1145/3777457openalex-snapshot
Graph Deviation Network for Anomaly Detection and Localization in Additive Manufacturing Systems
inferred← citeshttps://doi.org/10.1145/3779208.3805969openalex-snapshot
Attack from Shadows: Unsupervised Side-channel Transfer Learning across Devices and Modalities
inferred← citeshttps://doi.org/10.1145/3802927.3802950openalex-snapshot
A Systematic Evaluation of Deep-Learning Side-Channel Attacks: Performance and Cost
inferred← citeshttps://doi.org/10.1145/3807506openalex-snapshot
Deep Learning Based Side-Channel Attack on Polynomial Multiplication in Post-Quantum Cryptography
inferred← citeshttps://doi.org/10.1145/3807776openalex-snapshot
Auto-MCNN: Optimizing Multi-Scale CNNs via Automated Machine Learning for Side-Channel Analysis
inferred← citeshttps://doi.org/10.1145/3847162.3849236openalex-snapshot
Bagging and Boosting in ID prediction for Side-Channel Analysis for ML-KEM
inferred← citeshttps://doi.org/10.1145/3847162.3849238openalex-snapshot
Gaussian Trace Segmentation: Evolutionary Segmentation for Side-channel Analysis
inferred← citeshttps://doi.org/10.11591/ijece.v14i3.pp2896-2907openalex-snapshot
Machine learning-based lightweight block ciphers for resource-constrained internet of things networks: a review
inferred← citeshttps://doi.org/10.1186/s42400-026-00615-1openalex-snapshot
Stal-net: a lightweight side-channel analysis framework via adaptive temporal modeling and multi-scale attention fusion
inferred← citeshttps://doi.org/10.1186/s42400-026-00653-9openalex-snapshot
A deep learning based side-channel attack on BIKE
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3036551/v1openalex-snapshot
ACNN: Arbitrary Traces Attack based on LeakageArea Detection
inferred← citeshttps://doi.org/10.23919/date69613.2026.11539086openalex-snapshot
Focus Session: Exploring Semantic Leakage in Edge FPGA Implementations of Neural Networks
inferred← citeshttps://doi.org/10.26599/tst.2024.9010123openalex-snapshot
Deep Learning Based Side-Channel Attack Detection for Mobile Devices Security in 5G Networks
inferred← citeshttps://doi.org/10.32604/cmc.2024.051613openalex-snapshot
SFGA-CPA: A Novel Screening Correlation Power Analysis Framework Based on Genetic Algorithm
inferred← citeshttps://doi.org/10.32604/cmc.2025.060925openalex-snapshot
A Novel Stacked Network Method for Enhancing the Performance of Side-Channel Attacks
inferred← citeshttps://doi.org/10.3390/a16030127openalex-snapshot
The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA
inferred← citeshttps://doi.org/10.3390/a19080671openalex-snapshot
Artificial Intelligence and the Effective Security of AES: A Narrative Review of Side-Channel Analysis, Encrypted-Traffic Analysis, and the Post-Quantum Positioning of AES-256
inferred← citeshttps://doi.org/10.3390/app132112025openalex-snapshot
A Secret Key Classification Framework of Symmetric Encryption Algorithm Based on Deep Transfer Learning
inferred← citeshttps://doi.org/10.3390/app14156664openalex-snapshot
2FAKA-C/S: A Robust Two-Factor Authentication and Key Agreement Protocol for C/S Data Transmission in Federated Learning
inferred← citeshttps://doi.org/10.3390/app15136981openalex-snapshot
Evaluating the Vulnerability of Hiding Techniques in Cyber-Physical Systems Against Deep Learning-Based Side-Channel Attacks
inferred← citeshttps://doi.org/10.3390/app16073243openalex-snapshot
Sensitivity Analysis of Variational Quantum Classifiers for Identifying Dummy Power Traces in Side-Channel Analysis
inferred← citeshttps://doi.org/10.3390/cryptography9040064openalex-snapshot
Comparative Deep Learning-Based Side-Channel Analysis of an FPGA-Based CRYSTALS-Kyber NTT Accelerator
inferred← citeshttps://doi.org/10.3390/e27080853openalex-snapshot
Efficient AES Side-Channel Attacks Based on Residual Mamba Enhanced CNN
inferred← citeshttps://doi.org/10.3390/e28060662openalex-snapshot
IHOG: Interval-Optimized Hamming-Weight-Oriented Grouping for Enhanced Side-Channel Leakage Detection
inferred← citeshttps://doi.org/10.3390/fi16020045openalex-snapshot
Non-Profiled Unsupervised Horizontal Iterative Attack against Hardware Elliptic Curve Scalar Multiplication Using Machine Learning
inferred← citeshttps://doi.org/10.3390/jcp3030018openalex-snapshot
Power-Based Side-Channel Attacks on Program Control Flow with Machine Learning Models
inferred← citeshttps://doi.org/10.3390/math11122616openalex-snapshot
NASCTY: Neuroevolution to Attack Side-Channel Leakages Yielding Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/math12203279openalex-snapshot
Shift-Invariance Robustness of Convolutional Neural Networks in Side-Channel Analysis
inferred← citeshttps://doi.org/10.3390/mca31020055openalex-snapshot
SCAFormer: Side-Channel Analysis Based on a Transformer with Focal Modulation
inferred← citeshttps://doi.org/10.3390/sym17091483openalex-snapshot
Multi-Modal Side-Channel Analysis Based on Isometric Compression and Combined Clustering
inferred← citeshttps://doi.org/10.37648/ijps.v17i01.006openalex-snapshot
Design of Deep Learning Technique Based Side Channel Attack Analysis for System on Chips
inferred← citeshttps://doi.org/10.37661/1816-0301-2025-22-3-72-82openalex-snapshot
Approximation of binary functions based on two-layer artificial neural network
inferred← citeshttps://doi.org/10.3837/tiis.2024.03.012openalex-snapshot
Improve the Performance of Semi-Supervised Side-channel Analysis Using HWFilter Method
inferred← citeshttps://doi.org/10.46586/tches.v2022.i4.397-437openalex-snapshot
Breaking Masked Implementations of the Clyde-Cipher by Means of Side-Channel Analysis
inferred← citeshttps://doi.org/10.46586/tches.v2022.i4.800-827openalex-snapshot
A Key-Recovery Side-Channel Attack on Classic McEliece Implementations
inferred← citeshttps://doi.org/10.46586/tches.v2023.i1.401-437openalex-snapshot
Information Theory-based Evolution of Neural Networks for Side-channel Analysis
inferred← citeshttps://doi.org/10.46586/tches.v2023.i1.60-88openalex-snapshot
Adapting Belief Propagation to Counter Shuffling of NTTs
inferred← citeshttps://doi.org/10.46586/tches.v2023.i2.24-53openalex-snapshot
Peek into the Black-Box: Interpretable Neural Network using SAT Equations in Side-Channel Analysis
inferred← citeshttps://doi.org/10.46586/tches.v2023.i4.460-492openalex-snapshot
Pincering SKINNY by Exploiting Slow Diffusion
inferred← citeshttps://doi.org/10.46586/tches.v2024.i3.273-301openalex-snapshot
Efficient Table-Based Masking with Pre-processing
inferred← citeshttps://doi.org/10.46586/tches.v2024.i3.472-499openalex-snapshot
Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning
inferred← citeshttps://doi.org/10.46586/tches.v2025.i1.450-474openalex-snapshot
Perceived Information Revisited II
inferred← citeshttps://doi.org/10.46586/tches.v2025.i3.389-412openalex-snapshot
Chameleon: A Dataset for Segmenting and Attacking Obfuscated Power Traces in Side-Channel Analysis
inferred← citeshttps://doi.org/10.46586/tches.v2025.i3.717-744openalex-snapshot
Primitive-Level vs. Implementation-Level DPA Security: a Certified Case Study
inferred← citeshttps://doi.org/10.6028/nist.ir.8413openalex-snapshot
Status report on the third round of the NIST Post-Quantum Cryptography Standardization process
inferred← citeshttps://doi.org/10.6028/nist.ir.8413-upd1openalex-snapshot
Status report on the third round of the NIST Post-Quantum Cryptography Standardization process
inferred← citeshttps://doi.org/10.61710/kjcs.v2i1.74openalex-snapshot
Design of Deep Learning Techniques for Side-Channel Attacks on Masked 128-bit AES Implementations
inferred← citeshttps://doi.org/10.62056/a0wahee-3openalex-snapshot
I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis
inferred← citeshttps://doi.org/10.62056/a36cy7qiuopenalex-snapshot
Plaintext-based Side-channel Collision Attack
inferred← citeshttps://doi.org/10.62056/aebngy4e-openalex-snapshot
SoK: A Methodology to Achieve Provable Side-Channel Security in Real-World Implementations
inferred← citeshttps://doi.org/10.62056/ay4c3txol7openalex-snapshot
Leakage Model-flexible Deep Learning-based Side-channel Analysis
inferred← citeshttps://doi.org/10.62411/jcta.16745openalex-snapshot
A Side-Channel-Aware Cryptographic Framework for Secure Interactive, Embedded, IoT, and Edge Communication Systems
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