Security using Deep Learning
San Francisco, CA
Joined March 2017
- Tweets26
- Following31
- Followers74
- Likes36
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/…
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
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-…
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…
Spherical Defense retweeted
@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.
😭😭😭😭
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-…
Spherical Defense retweeted
Prof. Claudia de Rahm's theory of 'Massive Gravity' to explain Dark Energy is getting a lot of press as of late.
So let's dig into it. (thread: 1/n)
theguardian.com/science/2020…
Spherical Defense retweeted
what if the people at IBM are right and the real quantum supremacy is the friends we made along the way?
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…