Results 21 to 30 of about 1,303 (233)

Analysis on Secure Triplet Loss

open access: yesIEEE Access, 2022
Major improvements in biometric authentication have been made in recent years due to the advancements in deep learning. Through the use of a deep learning-based facial recognition model with metric learning, more discriminative facial features can be ...
Bora Jeong   +3 more
doaj   +1 more source

Biometric Template Attacks and Recent Protection Mechanisms: A Survey [PDF]

open access: yesInformation Fusion, 2023
It is an undeniable fact that biometric recognition systems are susceptible to different software-related or template attacks at different vulnerable points in the biometric authentication system. However, these attacks are frequently overlooked, implying one of two possibilities: either researchers and biometric stakeholders have forgotten or simply ...
Sani M. Abdullahi   +4 more
openaire   +1 more source

Efficient Template Attacks [PDF]

open access: yes, 2014
Template attacks remain a powerful side-channel technique to eavesdrop on tamper-resistant hardware. They model the probability distribution of leaking signals and noise to guide a search for secret data values. In practice, several numerical obstacles can arise when implementing such attacks with multivariate normal distributions. We propose efficient
Omar Choudary 0001, Markus G. Kuhn
openaire   +2 more sources

Model-Free Template Reconstruction Attack with Feature Converter

open access: yes, 2022
State-of-the-art template reconstruction attacks assume that an adversary has access to a part or whole of the functionality of a target model. However, in a practical scenario, rigid protection of the target system prevents them from gaining knowledge ...
Muku Akasaka, Yuya Sato
core   +1 more source

Poisoning attacks to compromise face templates [PDF]

open access: yes2013 International Conference on Biometrics (ICB), 2013
Adaptive biometric systems update clients' templates during operation to account for natural changes over time (e.g., aging of biometric templates). Recently, it has been shown that this update can be exploited by an attacker to compromise the clients' templates: by presenting a proper sequence of fake biometric traits to the sensor, the attacker may ...
BIGGIO, BATTISTA   +3 more
openaire   +1 more source

A Secret Key Classification Framework of Symmetric Encryption Algorithm Based on Deep Transfer Learning

open access: yesApplied Sciences, 2023
The leakage signals, including electromagnetic, energy, time, and temperature, generated during the operation of password devices contain highly correlated key information, which leads to security vulnerabilities.
Xiaotong Cui   +6 more
doaj   +1 more source

Cache-Timing Template Attacks [PDF]

open access: yes, 2009
Cache-timing attacks are a serious threat to security-critical software. We show that the combination of vector quantization and hidden Markov model cryptanalysis is a powerful tool for automated analysis of cache-timing data; it can be used to recover critical algorithm state such as key material.
Billy Bob Brumley, Risto M. Hakala
openaire   +1 more source

Template Attack of LWE/LWR-Based Schemes with Cyclic Message Rotation

open access: yesEntropy, 2022
The side-channel security of lattice-based post-quantum cryptography has gained extensive attention since the standardization of post-quantum cryptography.
Yajing Chang   +3 more
doaj   +1 more source

Bilateral Adversarial Patch Generating Network for the Object Tracking Algorithm

open access: yesRemote Sensing, 2023
Deep learning-based algorithms for single object tracking (SOT) have shown impressive performance but remain susceptible to adversarial patch attacks. However, existing adversarial patch generation methods primarily focus on generating patches within the
Jarhinbek Rasol   +4 more
doaj   +1 more source

On the power of template attacks in highly multivariate context [PDF]

open access: yesJournal of Cryptographic Engineering, 2020
When implemented in software (or hardware), a cryptographic protocol can leak sensitive information during its execution. Side-channel attacks can use those leakages in order to reveal some information about the secret used by the algorithm. The leaking side-channel information can take place in many time samples.
Ouladj, Maamar   +4 more
openaire   +3 more sources

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