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At CRYPTO 2017, Rosca et al. introduce a new variant of the Learning With Errors (LWE) problem, called the Middle-Product LWE (MP-LWE). The hardness of this new assumption is based on the hardness of ...
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...
Machine learning and side channel analysis in a CTF competition
key recovery deep learning machine learning
2019/7/25
Machine learning is nowadays supplanting or extending human expertise in many domains ranging from board games to text translation. Correspondingly, the use of such tools is also on the rise in comput...
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 ...
Breaking the Lightweight Secure PUF: Understanding the Relation of Input Transformations and Machine Learning Resistance
Physically Unclonable Function Machine Learning Modelling Attack
2019/7/15
Physical Unclonable Functions (PUFs) and, in particular, XOR Arbiter PUFs have gained much research interest as an authentication mechanism for embedded systems. One of the biggest problems of (strong...
Homomorphism learning problems and its applications to public-key cryptography
Learning With Errors isogenies non-commutative cryptography
2019/6/19
We present a framework for the study of a learning problem over abstract groups, and introduce a new technique which allows for public-key encryption using generic groups. We proved, however, that in ...
Structured Module Learning With Errors From Cyclic Algebras
Lattices Public-Key Cryptography Learning With Errors
2019/6/12
The Learning with Errors (LWE) problem is the fundamental backbone of modern lattice based cryptography, allowing one to establish cryptography on the hardness of well-studied computational problems. ...
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...
New Primitives for Actively-Secure MPC over Rings with Applications to Private Machine Learning
MPC Decision Trees SVM
2019/6/3
At CRYPTO 2018 Cramer et al. presented SPDZ2k, a new secret-sharing based protocol for actively secure multi-party computation against a dishonest majority, that works over rings instead of fields. Th...
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 ...
Bias-variance Decomposition in Machine Learning-based Side-channel Analysis
Side-channel analysis Machine learning Deep learning
2019/5/28
Machine learning techniques represent a powerful option in profiling side-channel analysis. Still, there are many settings where their performance is far from expected. In such occasions, it is very i...
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...