There are three types of attacks in which an attacker can use AI:
1. AI-boosted/based cyber-attacks – In this case, the malware operates AI algorithms as an integral part of its business logic. For example, using AI-based anomaly detection algorithms to indicate irregular user and system activity patterns.
2. AI-based attack infrastructure and frameworks – in this case, the malicious code and malware running on the victim’s machine do not include AI algorithms, however, AI is used elsewhere in the attacker’s environment and infrastructure – on the server side, in the malware creation process etc.
3. Adversarial attacks – In this case, we use “malicious” AI algorithms to subvert the functionality of “benign” AI algorithms. This is done by using the same algorithms and techniques used in traditional machine learning, but this time it’s used to “break” or “reverse-engineer” the algorithm(s) of security products. Read More
Daily Archives: April 15, 2019
The next wave of Artificial Intelligence: on-device AI
Artificial Intelligence is no more a science fiction word today. It has turned into a basic piece of our reality as cell phones, smartwatches, tablets, to give some examples. Our lives today revolve around these gadgets to an incomprehensible degree. Utilization of virtual Personal Assistants like Siri and Cortana is on the ascent. We would be powerless if Google maps weren’t there to guide us. To put it plainly, AI is progressing quickly and is changing the manner in which we live our lives. The smart devices today are way ‘more intelligent’ than their ancestors. The fast upgrades in the hardware and software spaces have set off an era where Intelligence is moving from the cloud onto the device and altering our lives.
With new abilities for existing solutions, on-gadget AI makes them all the more brilliant and faster. That could mean more intelligent assistants, more secure vehicles, enhanced security, leaps in robotics, a development in healthcare solutions, and much more. ML and data processing in the cloud won’t leave, yet on-device AI conveys customized experiences with some gigantic advantages, including colossally improved performance, particularly for those AI use cases that can’t manage the cost of even a microsecond slack: like auto security. On-device AI supports security and privacy, ensuring sensitive information like voice ID and face checks that could be undermined in the cloud. Also, when your AI power is in your grasp or readily available, reliability is never again an issue of network accessibility or bandwidth.
It is a typical conviction that AI is about Big data and cloud. Unexpectedly, AI can likewise be localized, directly in the palm of our hands in our cell phones. There has been a consistent development of AI towards the edge devices. This has been possible because of an expansion in computing power combined with upgrades in AI algorithms and the creation of strong software and hardware. These progressions have made it conceivable to run Machine Learning solutions on cell phones and cars instead of in the cloud, and this pattern is on the ascent. Read More
One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority
The Chinese government has drawn wide international condemnationfor its harsh crackdown on ethnic Muslims in its western region, including holding as many as a million of them in detention camps.
Now, documents and interviews show that the authorities are also using a vast, secret system of advanced facial recognition technology to track and control the Uighurs, a largely Muslim minority. It is the first known example of a government intentionally using artificial intelligence for racial profiling, experts said.
The facial recognition technology, which is integrated into China’s rapidly expanding networks of surveillance cameras, looks exclusively for Uighurs based on their appearance and keeps records of their comings and goings for search and review. The practice makes China a pioneer in applying next-generation technology to watch its people, potentially ushering in a new era of automated racism. Read More
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