bpcrd

6 ms·

1.
by bpcrd 1y ago
We won multiple awards including RSA: https://www.rsaconference.com/library/press-release/reality-... And we’ve published peer-reviewed research at top AI conferences E.g. CVPR, NeurIPS, ECCV, AAAI, Interspeech wh
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by bpcrd 1y ago
https://marketplace.zoom.us/apps/OYu4CZuRSwy_ieJ-6xKcrA
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by bpcrd 1y ago
I completely agree! Please see the bottom of our post where we offer free access in two ways: 1) Email up to 50 files to yc@realitydefender.com, we’ll scan them for you, no setup required 2) 1-click add to Zoom/Teams (via Appstore) to
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by bpcrd 1y ago
This is something for us to consider in the near future!
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by bpcrd 1y ago
See my other response on this, but this is something we are actively protecting against.
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by bpcrd 1y ago
This is something we're constantly updating, upgrading, iterating, and improving on. Every. Single. Day. Whether it's introducing new models, deprecating old ones, or improving existing ones, there is an element of both staying cu
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by bpcrd 1y ago
It is in fact something we support with our enterprise clients and will roll out at a later date via Public API. Including the free tier.
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by bpcrd 1y ago
Noted. Our marketing team only uses 640x480 CRTs and works exclusively in IE6, so will flag to them via Yahoo Messenger.
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by bpcrd 1y ago
We'd rather not tip our hand on any/all techniques used to discern actual users from bad actors and those seeking to reverse engineer, but suffice to say we do have are methods (and plenty of them).
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by bpcrd 1y ago
As noted elsewhere, we give confidence scores between 1-99%. We also use many different models for each modality for a more robust and complete answer with each scan, and each model has its own confidence score.
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by bpcrd 1y ago
I understand this is in jest, but unfortunately AI generation tools more or less stopped the six-finger issue a couple of years ago. We are decidedly not a model used for the express detection of finger abnormalities, but a multi-model and
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by bpcrd 1y ago
Thank you. As an inference-based detection platform, our models go into every scan with the assumption that all files are both not the original/ground truth AND the files have been likely transcoded. We never say something is 0% or 100
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by bpcrd 1y ago
Thank you! We’ve been working on this since 2021 (and some of us a bit before that), and we’re reminded every day that we are ultimately working something that helps people on the macro and micro level. We want a world free of the malevolen
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by bpcrd 1y ago
I understand the appeal of hashing-based provenance techniques, though they’ve faced some significant challenges in practice that render them ineffective at best. While many model developers have explored these approaches with good intentio
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by bpcrd 1y ago
We see who signs up for Reality Defender and instantly notice traffic patterns and other abnormalities that allow us to see if an account is in violation of terms of service. Also, our free tier is capped at 50 free scans a month which will
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by bpcrd 1y ago
We've actually deployed to several Tier 1 banks and large enterprises already for various use-cases (verification, fraud detection, threat intelligence, etc.). The feedback that we've gotten so far is that our technology is high a
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Launch HN: Reality Defender (YC W22) – API for Deepfake and GenAI Detection(realitydefender.com)
92 points by bpcrd 1y ago|64 comments
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by bpcrd 4y ago
Great comments - Better results require more data, improving models, and onboarding new (different) models. All areas of focus for us!
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by bpcrd 4y ago
There are advantages to both, as well as using existing blockchains (Ie. Bitcoin) to record small amounts of information via Merkle Trees. Fun fact: The oldest blockchain pre-dates bitcoin....and started in the 1990's in the New York T
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by bpcrd 4y ago
We're up for the challenge! Send us your images / videos (ask@realitydefender.ai) and we'll send you the results!
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by bpcrd 4y ago
We are optimizing compute requirements by isolating only the part of the media that requires scanning, so that we can pass along the cost savings to customers. At scale, the costs will low enough to scan all files just like anti-virus.
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by bpcrd 4y ago
We agree. Dataset fidelity and bias are major concerns for publicly available datasets. For this reason we are working to develop programmatically created datasets along with anti-bias testing and policies.
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by bpcrd 4y ago
Yes - Please contact us at ask@realitydefender.ai
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by bpcrd 4y ago
Thank you! Please reach out to ask@realitydefender.ai :)
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by bpcrd 4y ago
We’re fascinated by the potential applications of crypto in content provenance. In this example, a UGC video platform would need a way to initially determine the content hasn’t been manipulated before it’s signed, right? What about a live s
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by bpcrd 4y ago
Great questions. 1 - We include multiple models for GAN and non-GAN related synthetic media. 2 - Models are only as good as the training data, and most training data breaks down in the real world because hackers have access to this same ope
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by bpcrd 4y ago
We provide a probabilistic percentage result that is used by a trust and safety team to set limits (ie. flag or block content) so it is not a binary yes/no. We search for specific deepfake signatures and we explain what our results are
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by bpcrd 4y ago
We are adding new roles to our careers page on www.realitydefender.ai but feel free to reach out to career@realitydefender.ai and we can discuss your interest! We are working with few partners (including Microsoft) who are interested in int
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by bpcrd 4y ago
In 2017 deepfakes were pretty crude, today the avg person can’t tell a real face from a deepfake generated on a 5 year old iPhone. We expect the tech to continue moving in this direction. So, similar to anti-virus, we're approaching th
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by bpcrd 4y ago
1- Each model looks for different deepfake signatures. By design, the models do not always agree, which is the goal. We are much more concerned with false negatives, and we target a min of 95% accuracy for our model of detection models. 2 -

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