Researchers discovered a new adversarial attack, OPAD, that can gull AI technologies to modify the appearance of real 3D objects. One of the critical factors of such an attack is that no physical access is...
The new attack has been dubbed as an OPtical ADversarial attack (OPAD) and involves using three objects: a low-cost projector, a camera, and a computer in order to execute the attack. click here to...
OpenAttack is an open-source Python-based textual adversarial attack toolkit, which handles the whole process of textual adversarial attacking, including preprocessing text, accessing the victim model, generating adversarial examples and evaluation. Features & Uses OpenAttack...
Introduction Nowadays, cybersecurity companies implement a variety of methods to discover new, previously unknown malware files. Machine learning (ML) is a powerful and widely used approach for this task. At Kaspersky we have a...
Scientists working at the University of Maryland developed a new adversarial attack that can force machine learning systems to slow down and cause critical failures. Although this technique is not yet harmful, more such devastating...
US Army researchers developed a deepfake detection method that will enable the creation of soldier technology to support mission-essential tasks such as adversarial threat detection and recognition. click here to read full Article Read...
This advancement is staying driven by the a lot of quick gains that can be realized making use of machine discovering models in diverse domains, from impression recognition to credit score chance prediction. Impression...
Malware Mutation using Deep Reinforcement Learning and GANs The purpose of the tool is to use artificial intelligence to mutate a malware (PE32 only) sample to bypass AI powered classifiers while keeping its functionality...
Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has produced a new open up framework that aims to enable security analysts detect, reply to, and remediate adversarial attacks from machine mastering (ML) devices. Called the Adversarial...
Scientists at the Countrywide University of Singapore revealed a system that locates the impression parts wherever changes can very best disrupt graphic-recognition algorithms, devoid of being noticed by individuals. Resource backlink Browse Extra on...
