equalAIs @EqualAIsOrg

Empowering people and thwarting machines. Project created @BKCHarvard @medialab 2018 Assembly. equalais.media.mit.edu Joined April 2018

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equalAIs @EqualAIsOrg

7 years ago

🔥🙏🏽 Thank you @SamGregory we are truly humbled!

Sam Gregory @SamGregory

7 years ago

🔥🙏🏽 Thank you @SamGregory we are truly humbled!

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Ian Goodfellow @goodfellow_ian

7 years ago

I'm speaking at the 1st Deep Learning and Security workshop (co-located with @IEEESSP ) at 1:30 today: ieee-security.org/TC/SPW2018/DLS/ I'll discuss research into defenses against adversarial examples, including future directions. Slides and lecture notes here: iangoodfellow.com/slides/2018-05…

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Ian Goodfellow @goodfellow_ian

7 years ago

This paper shows how to make adversarial examples with GANs. No need for a norm ball constraint. They look unperturbed to a human observer but break a model trained to resist large perturbations. arxiv.org/pdf/1805.07894…

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ACLU @ACLU

7 years ago

Watch how Amazon’s collaboration with law enforcement on facial recognition can make sci-fi police states a reality:

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MediaJustice @mediajustice

7 years ago

Today we join the @ACLU and a coalition of 40 civil rights orgs in demanding that @amazon stop providing its facial recognition surveillance tool to government law enforcement agencies: aclunc.org/news/emails-sh…

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MediaJustice @mediajustice

7 years ago

“We already know that facial recognition algorithms discriminate against Black faces, and are being used to violate the human rights of immigrants.” - @culturejedi aclunc.org/news/emails-sh…

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Matt Cagle @Matt_Cagle

7 years ago

Amazon should prohibit governments from using Rekognition, full stop. Join our action and urge Amazon to act swiftly. ACTION aclu.org/amazon-stop-se… /END

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Matt Cagle @Matt_Cagle

7 years ago

THREAD: ACLU-obtained docs reveal that Amazon is helping govts deploy its dangerous new facial recognition technology. Today 40 civil rights orgs are demanding Amazon prohibit govts from using this service, called Rekognition. 1/ aclunc.org/rekognition-an…

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Daniel Pedraza @sumdp

7 years ago

“We are hoping to get answers to help determine the unintended consequences and imperfections in the plan to deploy facial recognition technologies widely, including a deeper understanding of the limitations and biases in the machine learning algorithms.” aclum.org/uncategorized/…

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Kelly Born @KellyKborn

7 years ago

Feeling a bit better about ability to combat #DeepFakes. FaceForensics uses machine learning to detect if a video of a face is real w 98% accuracy. Or look to see if pixels get redder when heart pumps. Nat Inst of Standards& Tech: Media Forensics Challenge cjr.org/tow_center/rep…

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equalAIs @EqualAIsOrg

7 years ago

💯

Jack Clark @jackclarkSF

7 years ago

💯

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Daniel Pedraza @sumdp

7 years ago

This is the exciting announcement!! Proud to build on the work we started @BKCHarvard @medialab 😬🤗🙏🏽

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equalAIs @EqualAIsOrg

7 years ago

🙌🏽👍🏽💯

Sam Gregory @SamGregory

7 years ago

🙌🏽👍🏽💯

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Daniel Pedraza @sumdp

7 years ago

I don't normally take any meetings before 09:00 but when I do, it is for @SamGregory @witnessorg + @EqualAIsOrg adversarial attacks.

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Guardian Project @guardianproject

8 years ago

@peterktodd @LiaraRoux There is also an interesting new project called @EqualAIsOrg at equalais.media.mit.edu that uses machine learning itself to inject strategic noise into photos to thwart face recognition

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Andrew Beam @AndrewLBeam

8 years ago

Self-driving cars are often used an example of how adversarial attacks can do harm in the real world. In our new preprint, @samfin55, @zakkohane, and I argue that medicine is the perfect storm of incentive + opportunity for adversarial attacks: arxiv.org/abs/1804.05296

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Bethge Lab @bethgelab

8 years ago

We are happy to announce the #NIPS2018 #AdversarialVisionChallenge! It's designed to inspire progress towards more robust vision models & real-world attacks. Great to team up with @GoogleResearch, @crowd_ai and @PennState & to have @awscloud as a sponsor! crowdai.org/challenges/nip…

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Mon Raj @MonRaj_

8 years ago

And @Equal41s, empowering people and thwarting machines through adversarial attacks on image detection models. Congrats to all the @BKCHarvard @medialab #assembly2018 teams!