in nvidia/runx

Description runx is a Deep Learning Experiment Management library by NVIDIA. This package was vulnerable to Arbitrary code execution via Insecure YAML deserialization due to the use of a known vulnerable function load in yaml. repo: https://github.com/NVIDIA/runx Proof of Concept python...

SoReL-20M: A Huge Dataset of 20 Million Malware Samples Released Online

Cybersecurity firms Sophos and ReversingLabs on Monday jointly released the first-ever production-scale malware research dataset to be made available to the general public that aims to build effective defenses and drive industry-wide improvements in security detection and response. "SoReL-20M"...

Security Unlocked—A new podcast exploring the people and AI that power Microsoft Security solutions

It’s hard to keep pace with all the changes happening in the world of cybersecurity. Security experts and leaders must continue learning and unlearning to stay ahead of the ever-evolving threat landscape. In fact, many of us are in this field because of our desire to continuously challenge...

Detecting Deep Fakes with a Heartbeat

Researchers can detect deep fakes because they dont convincingly mimic human blood circulation in the face: In particular, video of a persons face contains subtle shifts in color that result from pulses in blood circulation. You might imagine that these changes would be too minute to detect merel...

Seeing the big picture: Deep learning-based fusion of behavior signals for threat detection

The application of deep learning and other machine learning methods to threat detection on endpoints, email and docs, apps, and identities drives a significant piece of the coordinated defense delivered by Microsoft Threat Protection. Within each domain as well as across domains, machine learning...

Microsoft researchers work with Intel Labs to explore new deep learning approaches for malware classification

The opportunities for innovative approaches to threat detection through deep learning, a category of algorithms within the larger framework of machine learning, are vast. Microsoft Threat Protection today uses multiple deep learning-based classifiers that detect advanced threats, for example,...

Top 10 Most Innovative Cybersecurity Companies After RSA 2020

The RSA Conference, the world's leading information security conference and exposition, held its 29th annual event in San Francisco last week. According to the organizers, over 36,000 attendees, 704 speakers, and 658 exhibitors gathered at the Moscone Center to discuss privacy, Machine Learning,...

Deep Learning to Find Malicious Email Attachments

Google presented its system of using deep-learning techniques to identify malicious email attachments: At the RSA security conference in San Francisco on Tuesday, Google's security and anti-abuse research lead Elie Bursztein will present findings on how the new deep-learning scanner for documents...

Gmail Is Catching More Malicious Attachments With Deep Learning

Users of Gmail get 300 billion attachments each week. To separate legitimate documents from harmful ones, Google turned to AI—and it’s working...

Deep learning rises: New methods for detecting malicious PowerShell

Scientific and technological advancements in deep learning, a category of algorithms within the larger framework of machine learning, provide new opportunities for development of state-of-the art protection technologies. Deep learning methods are impressively outperforming traditional methods on...

Defining Wallarm API-specific Rules

Case Study Using SugarCRM API As an Example A unique Wallarm AI feature is its ability to automatically detect and parse complicated API protocols and then set up security rules based on specific data or parameters deep inside the API. Once parsed, the system creates the rules-based both on where...

Partner Perspectives: Better Together: Blue Hexagon Deep Learning-Powered Network Security and Carbon Black Endpoint Security

Tom Guerrette is the Director of Solutions Architecture for Blue Hexagon. It’s no surprise to any of us in the security industry that the threat landscape has transformed in the last 5 years in both speed and volume of attacks. According to The AV-Test Security Report, in 2017, 121.6 million new...

Securing the future of AI and machine learning at Microsoft

Artificial intelligence AI and machine learning are making a big impact on how people work, socialize, and live their lives. As consumption of products and services built around AI and machine learning increases, specialized actions must be undertaken to safeguard not only your customers and thei...

What are Deep Neural Networks Learning About Malware?

An increasing number of modern antivirus solutions rely on machine learning ML techniques to protect users from malware. While ML-based approaches, like FireEye Endpoint Security’s MalwareGuard capability, have done a great job at detecting new threats, they also come with substantial development...

Defending Elections from Foreign Adversaries: Election Buster

Election Buster is an open source tool created in 2014 to identify malicious domains masquerading as candidate webpages and voter registration systems. During 2016, fake domains were used to compromise credentials of a Democratic National Committee DNC IT services company, and foreign adversaries...

Meet MyloBot malware turning Windows devices into Botnet

By Waqas The IT security researchers at deep learning cybersecurity firm Deep This is a post from HackRead.com Read the original post: Meet MyloBot malware turning Windows devices into Botnet...

Adversarial Robustness Toolbox: ART

The Adversarial Robustness Toolbox ART, an open source software library, supports both researchers and developers in defending deep neural networks against adversarial attacks, making AI systems more secure. Its purpose is to allow rapid crafting and analysis of attack and defense methods for...

Machine Learning Penetration Testing: GyoiThon

GyoiThon is a growing penetration test tool using Deep Learning. Deep Learning improves classification accuracy in proportion to the amount of learning data. Therefore, GyoiThon will be taking in new learning data during every scan. Since GyoiThon uses various features of software included in HTT...

Wallarm Joins NVIDIA AI Virtual Accelerator

We are thrilled to announce that Wallarm has joined the NVIDIA Inception program, which is designed to nurture startups revolutionizing industries with advancements in AI and data sciences. NVIDIA’s Inception program is a virtual accelerator that helps startups during critical stages of product...

A Deep Learning Approach for Password Guessing: PassGAN

State-of-the-art password guessing tools, such as HashCat and John the Ripper JTR, enable users to check billions of passwords per second against password hashes. In addition to straightforward dictionary attacks, these tools can expand dictionaries using password generation rules. Although these...