Easily Fooling Deep Neural Networks
Data Skeptic16 Tammi 2015

Easily Fooling Deep Neural Networks

My guest this week is Anh Nguyen, a PhD student at the University of Wyoming working in the Evolving AI lab. The episode discusses the paper Deep Neural Networks are Easily Fooled [pdf] by Anh Nguyen, Jason Yosinski, and Jeff Clune. It describes a process for creating images that a trained deep neural network will mis-classify. If you have a deep neural network that has been trained to recognize certain types of objects in images, these "fooling" images can be constructed in a way which the network will mis-classify them. To a human observer, these fooling images often have no resemblance whatsoever to the assigned label. Previous work had shown that some images which appear to be unrecognizable white noise images to us can fool a deep neural network. This paper extends the result showing abstract images of shapes and colors, many of which have form (just not the one the network thinks) can also trick the network.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(601)

Adwords with Unknown Budgets

Adwords with Unknown Budgets

Rajan Udwani, an Assistant Professor at the University of California Berkeley joins us to discuss his work on AdWords with unknown budgets. He discussed the previous approaches to ad allocation, as we...

15 Elo 202234min

ML Ops Best Practices

ML Ops Best Practices

Today, we are joined by Piotr Niedźwiedź, Founder and CEO of Neptune.ai. Piotr discusses common MLOps activities by data science teams and how they can take advantage of Neptune.ai for better experime...

12 Elo 202230min

Affiliate Marketing Rabbithole

Affiliate Marketing Rabbithole

Affiliate marketing creates an opportunity for marketers to gain a commission by promoting a product or service.  Cookies are typically used for tracking and the advertiser whose product or service is...

8 Elo 202252min

Monetization of Youtube Conspiracy Theorists

Monetization of Youtube Conspiracy Theorists

Cameron Ballard joins us today to discuss his work around YouTube conspiracy theories. He revealed interesting observations about conspiracy theories on YouTube including how predatory ads are most co...

1 Elo 202254min

User Perceptions of Problematic Ads

User Perceptions of Problematic Ads

Eric Zeng joins us to discuss his study around understanding bad ads and efforts that can be taken to limit bad ads online. He discussed how he and his co authors scrapped a large amount of ad data, a...

25 Heinä 202237min

Political Digital Advertising Analysis

Political Digital Advertising Analysis

NaLette Brodnax, a political scientist and an Assistant Professor in the McCourt School of Public Policy at Georgetown University joins us to discuss her work on analyzing digital advertisements for p...

21 Heinä 202235min

Fraud Detection in Crowdfunding Campaigns

Fraud Detection in Crowdfunding Campaigns

18 Heinä 202235min

Artificial Intelligence and Auction Design

Artificial Intelligence and Auction Design

11 Heinä 202243min

Suosittua kategoriassa Tiede

rss-mita-tulisi-tietaa
rss-poliisin-mieli
tiedekulma-podcast
menologeja-tutkimusmatka-vaihdevuosiin
sotataidon-ytimessa
filocast-filosofian-perusteet
rss-duodecim-lehti
rss-astetta-parempi-elama-podcast
rss-lapsuuden-rakentajat-podcast
utelias-mieli
docemilia
radio-antro
rss-ranskaa-raakana
rss-kasvatuspsykologiaa-kaikille
rss-tiedetta-vai-tarinaa
rss-luontopodi-samuel-glassar-tutkii-luonnon-ihmeita
rss-sosiopodi