Nicholas Boucher

I'm honored that we were awarded the Best Paper Award for RAID 2023. Come check out the talk if you're here! arxiv.org/abs/2304.14031

I'm presenting our paper "Boosting Big Brother: Attacking Search Engines with Encodings" coauthored with @lucapajola, @iliaishacked, @rossjanderson, and @mauroconti_ at RAID at 4pm HKT today.

I’m presenting our paper "Trojan Source: Invisible Vulnerabilities" coauthored with @rossjanderson at USENIX Security at 1:30pm PT today. Come check it out! arxiv.org/abs/2111.00169

More info here: arxiv.org/abs/2304.14031

This work will appear in RAID 2023 this October and was done with coauthors Luca Pajola, @iliaishacked, @rossjanderson, and @mauroconti_.

Uncommon Unicode encodings can be used to manipulate the results of search engines and their chatbot counterparts. If an adversary can manipulate a user into copying a search term into a search engine, they can leverage this behavior to control the results.

@rramireznava Looks interesting, but I'm afraid it's the wrong Nicolas

EBITDA Explained to kids vía @_NickBoucher #EBITDA #Finance

More info: imperceptible.ml.

I’m presenting this work in a paper titled "Bad Characters: Imperceptible NLP Attacks" coauthored with @iliaishacked, @rossjanderson, and @NicolasPapernot at IEEE S&P at 10:40am PT today. Come check it out.

Imperceptible adversarial examples have now arrived for NLP. Unicode can be used to perturb text encodings in a way that targets ML models without affecting humans. Our techniques can be used to attack systems ranging from toxic content detection to machine translation.

Having trouble remembering all your passwords? @HSEAS student has a new app for that hvrd.me/YWtNM

@LadyNaggaga the project was a success! Thanks for all your support! analyzr.azurewebsites.net

Hello Twitter! #myfirstTweet