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)

Survey Design Working Session

Survey Design Working Session

Susan Gerbic joins Kyle to review some of the surveys Data Skeptic has launch, draft a new survey about podcast listening habits, and then review the results of that survey. You can see those results ...

14 Maalis 20231h 1min

Bot Detection and Dyadic Surveys

Bot Detection and Dyadic Surveys

The use of social bots to fill out online surveys is becoming prevalent. Today, we speak with Sara Bybee, a postdoctoral research scholar at the University of Utah. Sara shares from her research, how ...

6 Maalis 202335min

Reproducible ESP Testing

Reproducible ESP Testing

Our guest today is Zoltán Kekecs, a Ph.D. holder in Behavioural Science. Zoltán highlights the problem of low replicability in journal papers and illustrates how researchers can better ensure complete...

20 Helmi 202347min

A Survey of Data Science Methodologies

A Survey of Data Science Methodologies

On the show, Iñigo Martinez, a Ph.D. student at the University of Navarra shares his survey results which investigated how data practitioners perform data science projects. He revealed the methodologi...

13 Helmi 202324min

Opinion Dynamics Models

Opinion Dynamics Models

On the show today, Dino Carpentras, a post-doctoral researcher at the Computational Social Science group at ETH Zürich joins us to discuss how opinion dynamics models are built and validated. He expla...

6 Helmi 202335min

Casual Affective Triggers

Casual Affective Triggers

Crafting survey questions is one thing but getting your audience to fill it is yet another. On the show today, we speak with Alexander Nolte, an Associate Professor at the University of Tartu. Alexand...

30 Tammi 202335min

Conversational Surveys

Conversational Surveys

Traditional surveys have straight-jacket questions to be answered, thus restricting the information that can be gotten. Today, Ziang Xiao, a Postdoc Researcher in the FATE group at Microsoft Research ...

23 Tammi 202339min

Do Results Generalize for Privacy and Security Surveys

Do Results Generalize for Privacy and Security Surveys

Today, Jenny Tang, a Ph.D. student of societal computing at Carnegie Mellon University discusses her work on the generalization of privacy and security surveys on platforms such as Amazon MTurk and Pr...

17 Tammi 202340min

Suosittua kategoriassa Tiede

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