Gmail’s New Look Is About To Become Opt-Out Instead of Opt-In Measuring and Clustering Network Attackers using Medium-Interaction Honeypots. (arXiv:2206.13614v1 [cs.CR])
Network honeypots are often used by information security teams to measure the threat landscape in order to secure their networks....
DF-SCA: Dynamic Frequency Side Channel Attacks are Practical. (arXiv:2206.13660v1 [cs.CR])
The arm race between hardware security engineers and side-channel researchers has become more competitive with more sophisticated attacks and defenses...
DF-SCA: Dynamic Frequency Side Channel Attacks are Practical. (arXiv:2206.13660v1 [cs.CR])
The arm race between hardware security engineers and side-channel researchers has become more competitive with more sophisticated attacks and defenses...
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs. (arXiv:2206.13787v1 [cs.LG])
Despite the remarkable success of Generative Adversarial Networks (GANs) on text, images, and videos, generating high-quality tabular data is still...
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs. (arXiv:2206.13787v1 [cs.LG])
Despite the remarkable success of Generative Adversarial Networks (GANs) on text, images, and videos, generating high-quality tabular data is still...
Gray Images of Cyclic Codes over $mathbb{Z}_{p^2}$ and $mathbb{Z}_pmathbb{Z}_{p^2}. (arXiv:2206.13810v1 [cs.IT])
In the paper, we firstly study the algebraic structures of $mathbb{Z}_p mathbb{Z}_{p^k}$-additive cyclic codes and give the generator polynomials and...
Gray Images of Cyclic Codes over $mathbb{Z}_{p^2}$ and $mathbb{Z}_pmathbb{Z}_{p^2}. (arXiv:2206.13810v1 [cs.IT])
In the paper, we firstly study the algebraic structures of $mathbb{Z}_p mathbb{Z}_{p^k}$-additive cyclic codes and give the generator polynomials and...
Parallel Instance Filtering for Malware Detection. (arXiv:2206.13889v1 [cs.CR])
Machine learning algorithms are widely used in the area of malware detection. With the growth of sample amounts, training of...
Increasing Confidence in Adversarial Robustness Evaluations. (arXiv:2206.13991v1 [cs.LG])
Hundreds of defenses have been proposed to make deep neural networks robust against minimal (adversarial) input perturbations. However, only a...
Parallel Instance Filtering for Malware Detection. (arXiv:2206.13889v1 [cs.CR])
Machine learning algorithms are widely used in the area of malware detection. With the growth of sample amounts, training of...