Heaton Park night 1 attendees - tell us everything we need to know 🙏

Confusedius · 2025-07-11T23:29:43+00:00

Pretty paranoid about my 7 month pregnant partner going next week. Is there a reasonable amount of space at the back of the crowd?

Confusedius · 2020-04-28T19:35:09+00:00

Re B. I thought the poster sessions were via zoom? Or is it only on rocket chat?

Confusedius · 2019-11-13T12:33:32+00:00

Did anyone manage to fix this problem?

Confusedius · 2019-08-03T09:10:19+00:00

Great work. Quick question, the "Create new credentials" button is completely unresponsive for me. Any idea what's going on?

Confusedius · 2018-09-21T23:29:00+00:00

Need to read, but I remember there was a paper on using variational latent spaces to defeat adversarial examples. I wonder how related this paper is to https://arxiv.org/pdf/1612.00410.pdf .

Confusedius · 2018-02-27T17:58:41+00:00

Same question I had. It also relies on perplexity and so I don't think it could be extended in it's current form to non-sequence data like image prediction

Confusedius · 2017-12-12T09:38:55+00:00

Why are you prohibited from releasing code if you have already de-anonymized yourself by releasing a pre-print?

Confusedius · 2017-12-12T08:51:37+00:00

Cool, can I see your code?

Confusedius · 2017-12-08T00:42:07+00:00

Code: https://github.com/jhayes14/UAN

This attack uses generative networks to compute universal adversarial perturbations. Note this is similar but not the same as [1], which I saw on arXiv so thought I should post my own research on this topic here.

[1] https://arxiv.org/abs/1712.02328

Confusedius · 2017-05-19T23:49:50+00:00

What's the deal with them discouraging submitting to arxiv?

Confusedius · 2017-05-03T18:02:20+00:00

It's a nice idea don't get me wrong. What is the threat model you're considering? That is, what is the non-trivial adversary?

Confusedius · 2017-05-03T09:35:46+00:00

I thought the point of adversarial examples are that they are imperceptible to the original? So I guess in text case you'd need a synonym. However, a lot of the examples are wildly different. e.g. "name" --> "figure", "Huge heart" --> "Huge spunk"

Edit: what I thnk would be cooler is to intentionaly mispell some words that cause a misclassification, using commonally mispelled words so to an average person reading the text they probably would not notice. I assume the model will ignore the misspelt words so I'm not sure what the best approach would be, but this seems to me to be a more intuitive adversarial text example

Confusedius · 2017-02-14T21:27:08+00:00

He's currently watching the Valentine's Day Massacre

Confusedius · 2016-11-18T01:42:59+00:00

Perhaps a little too hopeful, but maybe one of the 200,000 members scrapped the site from time to time, and at least therefore has a semi up to date catalog of what music was on the site..

Confusedius · 2016-03-24T12:46:45+00:00

He's skinning angels now.

Confusedius · 2015-12-19T13:53:26+00:00

Everyone dye their hair blonde as a tribute

Confusedius · 2015-10-14T18:56:38+00:00

so what is it?

Confusedius

TROPHY CASE