Slowly companies using it will pop up to help you pass hiring exam.
Someone good answers all questions for you with your face and you get hired for few months till they realize you are a con.
To uncover a deepfake video call, ask the caller to turn sideways
211–220 of 285 posts
Re: To uncover a deepfake video call, ask the caller to turn sideways
#212Earlier quoted context omitted.
The only person who is promising self driving cars next year (and has done so every year for the past 5 years) is Elon Musk. Most respectable self-driving car companies are both further along than Tesla and more realistic about their timelines.
Self-driving cars are common in Europe for decades. We just use the less cool term "subway" for them. Sorry, I couldn't resist. :)
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Re: To uncover a deepfake video call, ask the caller to turn sideways
#213Source: I work in the field. This is a current limitation, and an artifact of the data+method but not something that should be relied upon. If we do some adversary modelling, we can find two ways to work around this: 1) actively generate and search for such data; perhaps expensive for small actors but not well equipped malicious ones. 2) wait for deep learning to catch up, e.g. by extending NERFs (neural radiance fie…
Asking for entropy that’s easy for a real human to comply with and difficult for a prebuilt AI is at least a short term measure. Such-as show me the back of your head sideways then go from head to feet without cutting the feed.
Easy for a human, difficult for ML/AI
Re: To uncover a deepfake video call, ask the caller to turn sideways
#214Source: I work in the field. This is a current limitation, and an artifact of the data+method but not something that should be relied upon. If we do some adversary modelling, we can find two ways to work around this: 1) actively generate and search for such data; perhaps expensive for small actors but not well equipped malicious ones. 2) wait for deep learning to catch up, e.g. by extending NERFs (neural radiance fie…
What if the real person draws something on his face? Does the deepfake algorithm removes it from the resulting image? Can you ask the caller to draw a line on his face with a pen as a test?
> Can you ask the caller to draw a line on his face with a pen as a test?
I think if the caller did this without objection that would be a bigger indication that it is a deep fake than the alternative. What real person is going to comply with this?
Re: To uncover a deepfake video call, ask the caller to turn sideways
#215Earlier quoted context omitted.
A quick google turns up a lot of bank data breaches. Because banks have to report data breaches. Do you think every neighborhood Gas-N-Blow is publicizing, or even knows, that it's been hacked?
Good point. I’m still wary of just assuming (if that’s what we’re doing here?) that old established organizations you’d expect to be secure are in fact secure. For example I would have expected credit rating agencies to be secure… Mandatory reporting certainly helps IMO. Reporting should be mandatory for anyone handling PII.
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Re: To uncover a deepfake video call, ask the caller to turn sideways
#216Earlier quoted context omitted.
> This is a current limitation The thing with any AI/ML tech is that current limitations are always underplayed by proponents. Self-driving cars will come out next year, every year. I'd say that until the tech actually exists, this is a great way to detect live deepfakes. Not using the technique just because maybe sometime in the future it won't work isn't very sound. For an extreme opponent you may need additional s…
> Self-driving cars will come out next year, every year. "Come out" could mean different things in different contexts. Deepfake defence context is analogous to something like: there are cars on public roads with no driver at the wheel. And this is already true in multiple places in the world.
Waymo in Arizona is an example
Re: To uncover a deepfake video call, ask the caller to turn sideways
#217Ray Kurzweil: "The day it starts working, we're doomed". Reality: "We got convincing front-facing deep fakes! Sideways? Don't worry, it will be ready in just 24 months!"
Re: To uncover a deepfake video call, ask the caller to turn sideways
#218Source: I work in the field. This is a current limitation, and an artifact of the data+method but not something that should be relied upon. If we do some adversary modelling, we can find two ways to work around this: 1) actively generate and search for such data; perhaps expensive for small actors but not well equipped malicious ones. 2) wait for deep learning to catch up, e.g. by extending NERFs (neural radiance fie…
It saddens me how many smart people are working in such an unethical field.
Re: To uncover a deepfake video call, ask the caller to turn sideways
#219Earlier quoted context omitted.
May I ask what card/Institution? This would be an immediate no for me.
I'd trust the data with a (real, not online) bank more than most other companies like Google. I'd be more worried about people hacking into networked security camera DVRs at stores and cafes and extracting image data from there. Multiple angles. Movement. Some are very high resolution these days. Sometimes they're mounted right on the POS, in your face. Sometimes they're actually in the top bezel of the beverage cool…
You would? You would trust a random number to call you and talk to you about your bank account?
(That's what Chase's fraud department tells you to do.. no joke)
Re: To uncover a deepfake video call, ask the caller to turn sideways
#220Earlier quoted context omitted.
Another way to think of it might be that it can be relied on - until it can't. Be ready and wary of that happening, but until then you have what's probably a good mitigation of the problem.
I think the concern is complacency, and the inertia that existing security practices leads to security gaps in the future. "However, I don't know one organisation that doesn't have some outdated security guideline that they cling to, e.g. old school password rules and rotations." Or put another way, humans can't be ready and wary, constantly and indefinitely. At some point, fatigue sets in. People move in and out of…
The flip side of that is people feeling/assuming there's nothing they can really do with the resources they have therefore they choose to do nothing.
Also, those that are actively using mitigations that are going to be outdated at some point are probably far more likely to be aware of how close they are to being outdated by encountering more ambiguous cases, as seeing the state of the art progress right in front of them.
As for people sticking to outdated security practices? That's a problem of people and organizations being introspective and examining themselves, and is not linked to any one thing. We all have that problem to a lesser or greater degree in all aspects of what we do, so either you have systems in place to mitigate it or you don't.