Tag Archive for: recognition

Facebook used facial recognition without consent 200,000 times, says South Korea’s data watchdog • The Register

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Facebook, Netflix and Google have all received reprimands or fines, and an order to make corrective action, from South Korea’s government data protection watchdog, the Personal Information Protection Commission (PIPC).

The PIPC announced a privacy audit last year and has revealed that three companies – Facebook, Netflix and Google – were in violations of laws and had insufficient privacy protection.

Facebook alone was ordered to pay 6.46 billion won (US$5.5M) for creating and storing facial recognition templates of 200,000 local users without proper consent between April 2018 and September 2019.

Another 26 million won (US$22B) penalty was issued for illegally collecting social security numbers, not issuing notifications regarding personal information management changes, and other missteps.

Facebook has been ordered to destroy facial information collected without consent or obtain consent, and was prohibited from processing identity numbers without legal basis. It was also ordered to destroy collected data and disclose contents related to foreign migration of personal information. Zuck’s brainchild was then told to make it easier for users to check legal notices regarding personal information.

The fine is the second-largest ever issued by the organization, the largest ever also going to Facebook. In November 2020 the Social Network™ was fined 6.7 billion won (US$5.7M) for passing on personal data to other operators without user permission.

Netflix’s fine was a paltry $220 million won (US$188,000), with that sum imposed for collecting data from five million people without their consent, plus another 3.2 million won (US$2,700) for not disclosing international transfer of the data.

Google got off the easiest, with just a “recommendation” to improve its personal data handling processes and make legal notices more precise.

The PPIC…

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Adversa AI Red Team Introduces Technology for Ethical Hacking of Facial Recognition Systems

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The Adversa AI Red Team has performed a proof-of-concept attack on PimEyes, the most popular and advanced public picture face search engine.

FREMONT, CA: Adversa AI, a trusted AI research leader, has presented a novel attack method for AI facial recognition applications. It causes an AI-driven facial recognition algorithm to misidentify people by introducing subtle alterations in human faces. Compared to previous similar approaches, this method is portable across all AI models while also being far more precise, stealthy, and resilient.

The Adversa AI Red Team has performed a proof-of-concept attack on PimEyes, the most popular and advanced public picture face search engine. Clearview, a commercial facial recognition database sold to law enforcement and governments, is likewise similar. Unfortunately, PimEyes duped, and the CEO of Adversa was mistaken for Elon Musk in the photo.

The attack is unique because it is a black-box assault created without a thorough knowledge of the search engine’s algorithms. As a result, the vulnerability may get utilized with a variety of facial recognition engines. Because the attack allows malefactors to disguise themselves in various ways, we’ve given it the name Adversarial Octopus, a reference to the animal’s stealth, precision, and adaptability.

The existence of such flaws in AI systems, particularly facial recognition engines, could have disastrous implications and be utilized in poisoning and evasion scenarios like the ones below:

  • Hacktivists could cause havoc in AI-powered internet platforms that employ facial attributes as input for any judgments or further training. In addition, by changing their profile images, attackers can poison or bypass the algorithms of large Internet corporations.

  • In banks, trading platforms, and other services that provide verified remote help, cybercriminals can steal human identities and evade AI-driven biometric authentication or identity verification systems. In every case where classic deepfakes can be helpful, this attack can be even more subtle.

  • Dissidents use it to conceal their online activities in social media from police enforcement. The virtual world we now live in resembles a mask or a…

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GBT Seeking to Adapt xCalibre Pattern Recognition Technology for Medical Imaging Analytics

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SAN DIEGO, June 08, 2021 (GLOBE NEWSWIRE) — GBT Technologies Inc. (OTC PINK: GTCH) (“GBT” or the “Company”), is seeking to adapt its xCalibre image analysis to post process health related imaging data with the goal of detecting potential issues and providing higher accuracy diagnostics. xCalibre imaging algorithms has the capability of processing high resolution images and videos detecting wide variety of pre-defined irregular objects. Using GBT’s proprietary neural network technology along with its computational geometry algorithms, GBT is seeking to adapt xCalibre to analyze post processed imaging of CT, Ultrasound, MRI and X-RAY. The goal will be to identify abnormalities and alerted medical professionals for further investigation. xCalibre system makes it possible to process and analyze imaging information, identifying anomalies of interest. The system includes technology that is protected with the Company’s recent filed image recognition patent. xCalibre’s cognitive capabilities enables it to learn with time and to accumulate knowledge in the same pattern as a human would.

“we intend to develop our xCalibre system using our proprietary computational geometry algorithms to scan, pixelate and analyze a very high-resolution image. We believe our AI technology could make it a potential intelligent assistant for medical professionals in wide variety of health fields. For example, as an assistance in X-RAYS or Ultrasound images. Another example can be a CT or MRI imaging analysis. Our goal is to implement xCalibre to post process images of MRI, X-RAY, Ultrasound and CT, analyzing for suspicious abnormalities. xCalibre is capable of vast amount of data handling, which enables rapid imaging analytics. We believe that such system can be of a great asset for medical professionals providing what is expected to be a precise image analytics assisting with accurate diagnostics.” Stated Danny Rittman the Company’s CTO.

There is no guarantee that the Company will be successful in researching, developing or implementing this system. In order to successfully…

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Global Facial Recognition Market 2019-2028: Facial Recognition Application in Mobile Security and Drones & Emergence of Facial Analytics – ResearchAndMarkets.com – Business Wire

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Global Facial Recognition Market 2019-2028: Facial Recognition Application in Mobile Security and Drones & Emergence of Facial Analytics – ResearchAndMarkets.com  Business Wire
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