221–230 of 285 posts
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Last time I applied for a credit card online, they asked me to take a video of myself and turn my head from side to side.
May I ask what card/Institution? This would be an immediate no for me.
Fuck these biometeric data farmers.
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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.
Let's take a look at some of those realistic timelines. A quick googling gave me a very helpful listicle by VentureBeat from 2017, titled Self-driving car timeline for 11 top automakers . [1] Some examples: Ford - Level 4 vehicle in 2021, no gas pedal, no steering wheel, and the passenger will never need to take control of the vehicle in a predefined area. Honda - production vehicles with automated driving capabiliti…
I was recently looking for designers for my company when I came across an interesting profile on Dribbble. I reached out and quickly scheduled a time when we could talk over zoom. At the meeting time, in comes this person who seems to have a strange-looking, silicone-like face. I was using my Zoom account (I rarely use other peoples zooms unless I trust them), to avoid situations like this. One thing I noticed is tha…
Out of curiosity was that person asian? Maybe they were just using some of those beautifying filters like chinese streamers do.
Admittedly, I use it, but I have it set pretty low. My face isn't lit up very well, and without it, in my webcam, my skin ends up looking a lot rougher than it really is.
If I set it to the max, then it just looks like a blurry mess.
Source: 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…
Base everything off the work they do, not how they look. Embracing deepfakes is accepting that you don't discriminate on appearances.
Hell, everyone should systematically deepfake themselves into white males for interviews so that there is assured to be zero racial/gender bias in the interview process.
Earlier 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. :)
In fact, the first (practical) one was in Boston; not in Europe.
Sorry, I couldn't resist. ;)
Slightly more robust method... Ask the caller to move out of the frame and then back in again. You will see a noticable 'step' as the face that is partially in the frame suddenly gets detected as a face and the deepfake is applied. The only way around this is to crop the input video quite heavily - by at least one face diameter, which is a lot if the user is near the camera.
> The only way around this is to crop the input video quite heavily I mean that sounds a lot easier than making deep fakes work well with profile data surely?
Earlier 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.
Let's take a look at some of those realistic timelines. A quick googling gave me a very helpful listicle by VentureBeat from 2017, titled Self-driving car timeline for 11 top automakers . [1] Some examples: Ford - Level 4 vehicle in 2021, no gas pedal, no steering wheel, and the passenger will never need to take control of the vehicle in a predefined area. Honda - production vehicles with automated driving capabiliti…
Earlier quoted context omitted.
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 t…
To use a Go (the game, not the language) metaphor, skilled players always assess the whole board rather than automatically make a local move in response to a local threat. What's right for one organization is not going to be right for another. Asking the caller to turn sideways to protect against deepfakes should be considered within the organization's own framework, along with the various risks involved with deepfakes, and many other risks aside from deep fake video calls.