How To Eliminate Malware Competition
Don’t suffer from Windows errors anymore.
Sometimes your system may display a message about a malware contest. There can be several reasons for this problem.
Today, we usually launch MLSEC.IO, an educational machine learning security evasion (MLSEC) competition for their AI and security for communities that are straining their forces to attack computer systems. Critical AI in a realistic environment. Organized and sponsored by Microsoft in conjunction with NVIDIA, CUJO AI, VM-Ray, and MRG Effitas, the competition rewards entrants who effectively bypass AI-based malware scanners and AI-based phishing scanners. /p>
Machine learning is a powerful tool in almost every industry: finance, medicine, infrastructure, and cybersecurity. Microsoft is seeing a slight increase in attacks on AI systems in manufacturing that could compromise the most important safeguards for the confidentiality, integrity, and availability of those systems. In particular, well-known cases documented by the MITER ATLAS framework show how, as AI models proliferate, there is a growing risk that the machine learning that powers these systems could be manipulated to target the real scale of AI.otivnik. While risks are inherent in all deployed forms of machine learning, the threat is particularly evident in cybersecurity, where machine learning models can increasingly be relied upon to identify threat tools and actor behavior. Market research has repeatedly shown this defense. and AI privacy are top concerns for business leaders. According to a 2020 CCS Insight survey of 700 online IT leaders, security and more is the number one barrier organizations face when using AI. This was indicated by more than 25% of respondents1.
However, security professionals usually don’t know how to overcome this new hurdle. A recent Microsoft survey found that 25 out of 37 companies do not have powerful security tools or even artificial intelligence systems. Although research scientists have been studying how AI systems can be attacked for about two years now, awareness among practitioners remains low. For this reason, Gartner’s “Top 5 Risk Management Priorities” recommendation for industry leadersAI for 2021″ under the Gartner MOST Framework2 is for organizations to “focus people’s attention across the organization by promoting this formal risk awareness of AI through leadership. campaigns.”
The democratization of knowledge is the key to secure AI systems. That’s why Microsoft recently released Counterfit, a gadget we built to assess vulnerabilities in Microsoft’s AI systems to actively protect AI services. For those new to adversarial machine learning, NVIDIA has introduced MINTNV, a non-standard environment for learning and developing your own skills.
Join With MLSEC.IO
With today’s launch of MLSEC.IO, we aim to show how attackers can bypass security models and allow practitioners to flex their muscles by attacking learning systems, critical machines used in cybersecurity.
“In our own security community, there is a lack of practical knowledge about attacking AI systems and/or possibly defending against them. Competitions such as Microsoft’s MSLEC, Democratizizirovat knowledge, conflicting machine learning tools in support of offensive and defensive victory. security knowledge community. The hands-on MLSEC approach is your exciting entry point into AML.” —Christopher Cottrell, AI Team Lead, NVIDIA
The competition has two challenges that will start on August 6 and end on September 17, 2021: the anti-malware route and therefore the anti-phishing route.
- Phishing evasion tracking. Machine learning is regularly used in high-end systems by attackers to obtain raw data through phishing. In this track, the members take on the role of an attacker trying to bypass various phishing features. Adapted by CUJO AI, a machine learning-based phishing model typically developed specifically for this competition.
- An anti-malware study. This challenge offers hackers who want to bypass machine learning-based virus protection another option: modify an existingdesigning a malicious binary in a way that hides it from the anti-malware model.
In addition, in each of the Attacker Challenge Road, the highest scoring author who extends and uses Counterfit, Microsoft’s open source tool for studying the security of machine skill models, will receive a bonus prize. Security
“The Escape Challenge opens up new cybersecurity opportunities and opens up access to a wider talent base. To lower barriers to entry, this year we are introducing the Phishing Argument, but we still strongly recommend I don’t have much malware experience to participate.” – Zoltan Balasz, Head of the Vulnerability Research Lab at CUJO KI and co-founder of the competition.< /p>
Contest Details Key
More about the Machine Learning Security Evasion 2021 competition:
This competition is part of Microsoft’s broader effort to empower engineers to fully develop and deploy AI systems. We recommend using it with the following main resources:Download this fixer software and fix your PC today.
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