Security using Deep Learning

San Francisco, CA
Joined March 2017
Spherical Defense retweeted
Congratulations to @Cambridge_CL @AFAR_Cambridge MPhil alumnus @akbirkhan for persevering and getting his paper *Multi-dimensional Affect in Poetry (POCA) Dataset: Acquisition, Annotation and Baseline Results* accepted ACII'21 @acii_conf! Preprint: repository.cam.ac.uk/handle/…
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Spherical Defense retweeted
Super excited to be awarded runner-up best paper at #BuildSys20 for our paper SMITE. It's a real honour! dl.acm.org/doi/10.1145/34083…
Very excited to be presenting our paper SMITE where we detect the thermal efficiency of buildings using only smart-meter readings at #BuildSys 2020! dl.acm.org/doi/abs/10.1145/3… #BuildSys2020
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Spherical Defense retweeted
Now we're back to #Kanye2020, here's why we should all be more like Ye (and some other lessons): akbir.dev/post/lessons-from-…
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The API market is set to grow at 20% for the next decade, and with this we'll need new **comprehensive** security. Check out our latest blog on API security at: medium.com/@contact_5016/lea…
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Spherical Defense retweeted
Replying to @PyTorch
@PyTorch optimisers with memory (Adam) use a _buffer which on init is assigned to a device. Unlike every other tensor, this doesn't have public methods for device re-assignment. So even with the new zip save (1.4.0), you can never save/resume training completely. 😭😭😭😭
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Spherical Defense retweeted
I've written a new #machinelearning blog post on the choice of feature amounts in convolutional neural networks. It's the start of a series aimed to challenge common DL assumptions, so I hope that it's both sufficiently insightful and still provocative: martin-mundt.com/rethinking-…
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what if the people at IBM are right and the real quantum supremacy is the friends we made along the way?
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Testing is the important and difficult in machine learning! Here are our tips:
Nobody teachers you how to test Deep Learning in Academia. I wrote some tips on how to, in this blog: medium.com/@akbirk/how-to-te…
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Spherical Defense retweeted
At #RSAC Launch Pad at RSAC 2019, a panel of leading venture capitalists will listen to pitches from startups competing for a chance to secure funding and expedite growth. Learn about the 3 finalists, @_NuID, @SphericalAI and @styrainc, who made the cut: spr.ly/6015ETd8x
"Watching the world champion get beaten (4–1), woke up an entire nation to the idea that AI is finally intelligent enough to compete at human level task"... check out Research Engineers @akbirkhan's latest blog
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Check out our new weekly blog post on #ML papers our research team found interesting. medium.com/@contact_5016/8th…
Check out our first blog about how #AI learns to understand language. Written by one of our research engineers, @akbirkhan :medium.com/@contact_5016/wor… #MachineLeaning #nlp
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AI's learning to work together just like human players deepmind.com/blog/capture-th…
Spherical Defense retweeted
The Fourier Recurrent Unit - new RNN using Fourier coefficients: 1) Trig functions = great global support, 2) Fourier Basis = easy exponential calc FRU also has no exploding/vanishing grad. Long time dependices encoded in diff frequencies! #icml #icml2018
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Spherical Defense retweeted
'Visualising and Understanding Atari Agent' - using perturbation based saliency to help visualise agents intentions/value functions. E.g Space invaders: agent firstly learns to survive then maximise points. #icml2018 #icml #rl
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Interesting day at Infosec @Infosecurity today at the Olympia. Very nice and enthusiastic presentation by @cylance.
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Spherical Defense retweeted
GANs can be used to automatically design dental crowns, that are then actually manufactured and used in the physical world. Crowns need to be made specifically for each patient and need to fit correctly with the other teeth and support biting and chewing. arxiv.org/abs/1804.00064
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