Tag Archive for: facial

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


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…

Source…

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

Global Facial Recognition Market 2019-2028: Facial Recognition Application in Mobile Security and Drones & Emergence of Facial Analytics – ResearchAndMarkets.com  Business Wire
“mobile security news” – read more

Smashing Security podcast #190: Twitter hack arrests, email bad behaviour, and Fawkes vs facial recognition

Special guest Geoff White can’t resist using the podcast to promote his new book, “Crime Dot Com”, but other than that we also discuss the creepy (and apparently legal) way websites can find out your email and postal address even if you don’t give it to them, take a look at how the alleged Twitter hackers were identified, and learn about Fawkes – the technology fighting back at facial recognition.

Graham Cluley

Cambridge, Massachusetts Passes Ban On Facial Recognition Tech Use By Government Agencies

Congratulations to Cambridge, Massachusetts for joining the banwagon! Cambridge joins three other communities in the state which have decided facial recognition tech is too risky, too invasive of privacy, and all-around bad news for their residents. Brookline, Somerville, and Northampton have also banned the tech, potentially leading the way for a statewide ban.

A bill before the State House would also establish a statewide moratorium on the use of facial recognition technology and other forms of biometric surveillance, including the analysis of a person’s gait or voice, until the legislature regulates the software.

These communities join their West Coast counterparts in making the tech unavailable to government agencies. San Francisco and Oakland both banned the tech recently. This was followed by a statewide ban that made these efforts (mostly) redundant. But not completely. The state ban only applies to cameras operated by law enforcement officers. The city bans block all city government agencies from deploying the tech.

There really isn’t any good reason for any city or state to, at the very minimum, not pass a moratorium on facial recognition use. The tech is unproven. Specs vary widely between vendors, but most of the major offerings aren’t exactly burning up the charts in terms of false positives. That’s still a huge problem. But it’s only one of the problems.

A large percentage of false positives also means the programs are prone to false negatives, which runs contrary to law enforcement assertions the tech will aid and abet in crime-solving. You need to be able to accurately identify people to do that and high miss rates don’t exactly point to increased law enforcement efficiency.

Beyond that, the tech tends to show bias, some of which can be attributed to the people building the programs. The quality of the training inputs also matters, but the race to grab market share means speed is prized over accuracy. At this point, facial recognition tech is mostly known for getting things wrong and giving white males yet another reason to be grateful they’re white and male.

Unfortunately, these efforts will probably be temporary. There’s no way law enforcement agencies will go without this tech for long. And these agencies wield a great deal of power when it comes to crafting legislation, especially if they’re represented by a union.

As heartening as it is to see these efforts come to fruition, the widespread deployment of facial recognition tech feels almost inevitable. Maybe it isn’t. But state efforts won’t do much to halt the ever-expanding plans of the federal government, which is very much interested to subjecting as many Americans as possible to biometric collections, all in the name of national security. But a groundswell of state efforts could halt this advance or, at the very least, slow the surveillance rush back to a creep.

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