Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defensedoi:10.1155/2020/3608173Lingyun JiangKai QiaoRuoxi QinLinyuan WangWanting YuJian ChenHaibing BuBin YanHindawi Limited
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset. - as791/Adversarial-Example-Attack-and-Defense
In image classification of deep learning, adversarial examples where inputs intended to add small magnitude perturbations may mislead deep neural networks (DNNs) to incorrect results, which means DNNs are vulnerable to them. Different attack and defense strategies have been proposed to better research ...
The security researchers used PassGAN, a password generator based on a Generative Adversarial Network (GAN). PassGAN and other password generators differ because the former doesn't depend on manual password analysis. In contrast, the PassGAN model, as its name implies, leverages GAN to learn from...
Red teamingis the act of systematically and rigorously (but ethically) identifying an attack path that breaches the organization’s security defense through real-world attack techniques. In adopting this adversarial approach, the organization’s defenses are based not on the theoretical capabilities of ...
techniques or algorithms which are applied in the context of IoT security. Search string is applied on all database sources and it fetches the desired results related to this research work. Searching process is improved by using advance search options available in online search libraries. A pilot...
the United States government has created the "Shields Ready" project to improve cybersecurity in vital infrastructure. In contrast to its forerunner, Shields Active, Shields Ready is geared toward bolstering Critical Infrastructure (CNI) firms' processes and systems in advance of any cyber incidents....
Among other things, the cascade model helps explain whether that condition arises, and how journalists can hinder or advance it. Keywords framing, indexing, hegemony, media and foreign policy, media and war, September 11 On the morning after the terrorist assaults of September 11, 2001, ...
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.Devling into Adversarial Transferability on Image Classification: A Review, Benchmark and Evaluation will be released soon.We also release a list of papers about transfer-based attacks here....
The Art of Computer Virus Research and Defense The Art of Deception: Controlling the Human Element of Security The Art of Memory Forensics The Beginner's Guide to Information Security The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography The Computer Incident Response Pla...