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Inserting a Backdoor into a Machine-Learning System

Schneier on Security

Interesting research: “ ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks , by Tim Clifford, Ilia Shumailov, Yiren Zhao, Ross Anderson, and Robert Mullins: Abstract : Early backdoor attacks against machine learning set off an arms race in attack and defence development.

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Using Machine Learning to Detect Keystrokes

Schneier on Security

“A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards” Abstract: With recent developments in deep learning, the ubiquity of microphones and the rise in online services via personal devices, acoustic side channel attacks present a greater threat to keyboards than ever. .

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The Future of Machine Learning and Cybersecurity

Schneier on Security

The Center for Security and Emerging Technology has a new report: “ Machine Learning and Cybersecurity: Hype and Reality.” ” Here’s the bottom line: The report offers four conclusions: Machine learning can help defenders more accurately detect and triage potential attacks.

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The Machine Learning Cybersecurity Revolution

Security Boulevard

Balancing the promise and pitfalls of machine learning cybersecurity The integration of machine learning (ML) has opened up new frontiers for defending against complex and evolving cyber threats. However, machine learning cybersecurity integration is not without its challenges.

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The Importance of User Roles and Permissions in Cybersecurity Software

Read the eBook to learn more! By only giving users access to what they need for their job, you reduce the risk of data breaches and unauthorized modifications. This is known as role-based access control or RBAC.

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Protect Yourself and Your Business With This $40 Cybersecurity E-Learning Bundle

Tech Republic Security

At just $6 per course, you could learn how to protect your personal information and business systems, or work toward a career in this high-paying industry.

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Attacking the Performance of Machine Learning Systems

Schneier on Security

We show how adversaries can exploit carefully-crafted sponge examples, which are inputs designed to maximise energy consumption and latency, to drive machine learning (ML) systems towards their worst-case performance. Sponge examples are, to our knowledge, the first denial-of-service attack against the ML components of such systems.

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How to Generate Revenue Using Software Intelligence

With these best practices, you will learn how you can: Uncover a new, untapped revenue channel. Did you know there are people who already use and love your software, but aren't paying for it? Compliance analytics allow you to quantify unlicensed use of your products and accelerate your revenue recovery efforts. Download the eBook now!

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7 Tips for Developing an In-Application Messaging Strategy

You will learn how to: Identify unpaid users of your software. Software vendors are always looking for new ways to convert prospects to customers; and if you're selling your software online, driving and converting shopping cart traffic is crucial to driving new revenue. Alert these users of their unlicensed status.

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Turning Trial Users Into Successful Customers

Speaker: Daniel Foster, Strategy Lead, TechSmith & Vic DeMarines, VP of Product Management, Revenera

Daniel will be joined by Revenera’s VP of Product Management, Victor DeMarines as they discuss the process, learnings, and what’s next. Analyzing the impact of improving customer experience on trial conversion rates.

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Monetization Monitor: Monetization Models and Pricing 2020

Download this research report from Revenera to learn more. The need to grow revenue by helping customers be successful with their solutions is as strong as ever. Tech companies must focus on how to take products to market, through effective pricing, delivery, and monetization.

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Take the Guesswork Out of Product Management

Speaker: Daniel Barrett and Michael Goff, Revenera

Watch this webinar and you will learn why Gartner predicts that 75% of software providers will rely on insights from software usage analytics by 2021. If you’re not using software usage analytics to understand how users engage with your applications, you’re missing valuable insight that can take the guesswork out of product management.

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Everything You Need to Know About Crypto

Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy

With 20% of Americans owning cryptocurrencies, speaking "fluent crypto" in the financial sector ensures you are prepared to discuss growth and risk management strategies when the topic arises.

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Software Composition Analysis: The New Armor for Your Cybersecurity

Speaker: Blackberry, OSS Consultants, & Revenera

In this exclusive webinar with industry visionaries, you'll learn: The value of Software Composition Analysis Regulations impacting both software producers and buyers What a Software Bill of Materials is and why you need one Software supply chain security best practices.and more!

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Successful Change Management with Enterprise Risk Management

Speaker: William Hord, Vice President of ERM Services

In this webinar, you will learn how to: Outline popular change management models and processes. When an organization uses this information aggregately and combines it into a well-defined change management process, your ability to proactively manage change increases your overall effectiveness. Organize ERM strategy, operations, and data.