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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. How does text mining work?

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Built for high throughput, they are especially effective for parallel processing tasks, such as training large-scale deep learning applications. In the field of artificial intelligence, GPUs are chosen for their ability to perform the thousands of simultaneous operations necessary for neural network training and inference.

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New Linux Malware Shikitega Can Take Full Control of Devices

eSecurity Planet

Shikitega uses legitimate cloud services to host some of its C2 (command & control) servers and a very light ELF dropper (370B) to initiate the next stages. The infamous XMRig mines Monero cryptocurrency that is known to be anonymity-focused, as it’s particularly hard to trace back. Shikitega installs XMRig version 6.17.0

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Attacks against machine learning — an overview

Elie

which involve feeding training adversarial data to the classifier. The most common attack type we observe is model skewing, where the attacker attempts to pollute training data in such a way that the boundary between what the classifier categorizes as good data, and what the classifier categorizes as bad, shifts in his favor.

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What is a Cyberattack? Types and Defenses

eSecurity Planet

Cisco Umbrella , analyzing the threat environment for 2022, found that 86% of organizations experienced phishing, 69% experienced unsolicited crypto mining, 50% were affected by ransomware, and 48% experienced some form of information-stealing malware. Educating and training employees is a must-do in modern endpoint security.

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Embeddable AI saves time building powerful AI applications

IBM Big Data Hub

IBM Research has added three new software libraries to IBM’s portfolio of embeddable AI solutions— software libraries that are not bound to any platform and can be run across environments, including public clouds, on-premises, and at the edge. Users can then mine the data using simple keyword searches to find the information they need.

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Attacks against machine learning — an overview

Elie

which involve feeding training adversarial data to the classifier. The most common attack type we observe is model skewing, where the attacker attempts to pollute training data in such a way that the boundary between what the classifier categorizes as good data, and what the classifier categorizes as bad, shifts in his favor.

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