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Deep Learning Model Generalization in Side-Channel Analysis
Side-Channel Analysis Deep Learning Model Generalization
2019/8/30
The adoption of deep neural networks for profiled side-channel attacks provides different capabilities for leakage detection of secure products. Research papers provide a variety of arguments with res...
X-DeepSCA: Cross-Device Deep Learning Side Channel Attack
Side-channel Attacks Profiling attacks Cross-device Attack
2019/7/17
This article, for the first time, demonstrates Cross-device Deep Learning Side-Channel Attack (X-DeepSCA), achieving an accuracy of >99.9%>99.9%, even in presence of significantly higher inter-device ...
How Diversity Affects Deep-Learning Side-Channel Attacks
Side-channel attack power analysis deep learning
2019/6/6
Deep learning side-channel attacks are an emerging threat to the security of implementations of cryptographic algorithms. The attacker first trains a model on a large set of side-channel traces captur...
Simulating Homomorphic Evaluation of Deep Learning Predictions
neural networks homomorphic encryption TFHE
2019/5/31
Convolutional neural networks (CNNs) is a category of deep neural networks that are primarily used for classifying image data. Yet, their continuous gain in popularity poses important privacy concerns...
Deep Learning based Side Channel Attacks in Practice
Deep Learning based Side-Channel Attacks Data Dimensionality Data Scaling
2019/5/29
A recent line of research has investigated a new profiling technique based on deep learning as an alternative to the well-known template attack. The advantage of this new profiling approach is twofold...
Deep Learning based Model Building Attacks on Arbiter PUF Compositions
physically unclonable function machine learning deep learning
2019/5/28
Robustness to modeling attacks is an important requirement for PUF circuits. Several reported Arbiter PUF com- positions have resisted modeling attacks. and often require huge computational resources ...
DL-LA: Deep Learning Leakage Assessment: A modern roadmap for SCA evaluations
side channel leakage assessment deep learning
2019/5/21
In recent years, deep learning has become an attractive ingredient to side-channel analysis (SCA) due to its potential to improve the success probability or enhance the performance of certain frequent...
A Comprehensive Study of Deep Learning for Side-Channel Analysis
Side Channel Analysis Profiling Attacks Machine Learning
2019/5/5
In Side Channel Analysis, masking is known to be a reliable and robust counter-measure. Recently, several papers have focused on the application of the Deep Learning (DL) theory to improve the efficie...
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data
Homomorphic encryption intermediate representation deep learning
2019/4/3
Homomorphic encryption (HE)---the ability to perform computation on encrypted data---is an attractive remedy to increasing concerns about data privacy in deep learning (DL). However, building DL model...
Deep Learning to Evaluate Secure RSA Implementations
Side-Channel Attacks RSA Deep Learning
2019/1/26
This paper presents the results of several successful profiled side-channel attacks against a secure implementation of the RSA algorithm. The implementation was running on a ARM Core SC 100 completed ...
This paper presents a very practical key recovery attack on Speck32/64 reduced to 11 rounds based on a novel type of differential distinguisher using machine learning. These distinguishers exceed dist...
Deep Learning vs Template Attacks in front of fundamental targets: experimental study
Side channel deep dearning template attack
2018/12/24
This study compares the experimental results of Template Attacks (TA) and Deep Learning (DL) techniques called Multi Layer Perceptron (MLP) and Convolutional Neural Network (CNN), concurrently in fron...
Spread: a new layer for profiled deep-learning side-channel attacks
Deep-learning Side-channel attacks Spread layer
2018/11/13
Recent publications, such as [10] and [13], exploit the advantages of deep-learning techniques in performing Side-Channel Attacks. One example of the Side-Channel community interest for such technique...
Chimera: a unified framework for B/FV, TFHE and HEAAN fully homomorphic encryption and predictions for deep learning
fully homomorphic encryption Ring-LWE neural network
2018/8/21
This work describes a common framework for scale-invariant families of fully homomorphic schemes based on Ring-LWE, unifying the plaintext space and the noise representation. This new formalization al...
DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive
deep learning blockchain privacy-preserving training
2018/7/17
Deep learning technology has been evaluated to achieve the high-accuracy of state-of-the-art algorithms in a variety of AI tasks. Its popularity draws security researchers’ attention to the topic of p...