Easily Fooling Deep Neural Networks
Data Skeptic16 Jan 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.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(601)

Skeptical Survey Interpretation

Skeptical Survey Interpretation

Kyle shares his own perspectives on challenges getting insight from surveys. The discussion ranges from commentary on the market research industry to specific advice for detecting disingenuous or frau...

10 Maj 202321min

The Gallup Poll

The Gallup Poll

Jeff Jones, a Senior Editor at Gallup, joins us today. His conversation with Kyle spanned a range of topics on Gallup's poll creation process. He discussed how Gallup generates unbiased questionnaires...

1 Maj 202340min

Inclusive Study Group Formation at Scale

Inclusive Study Group Formation at Scale

Gireeja Ranade, a University of California at Berkeley professor, speaks with us today. She presented her study on implementing inclusive study groups at scale and shared the observed student performa...

25 Apr 202332min

The PhilPapers Survey

The PhilPapers Survey

Today, we are joined by David Bourget. David is an Associate Professor in Philosophy at Western University in London, Ontario. David is also the co-director of the PhilPapers Foundation and Director o...

21 Apr 202331min

Non-Response Bias

Non-Response Bias

Today's show focused on an essential part of surveys — missing values. This is typically caused by a low response rate or non-response from respondents. Yajuan Si is a Research Associate Professor at ...

10 Apr 202335min

Measuring Trust in Robots with Likert Scales

Measuring Trust in Robots with Likert Scales

We are joined by two guests today, Mariah, a Ph.D. student in the CORE Robotics Lab at Georgia Tech, and Matthew Gombolay, the Director of the CORE Robotics Lab. They both discuss practices for measur...

3 Apr 202347min

CAREER Prediction

CAREER Prediction

Ever wondered what your next career would be? Today, Keyon Vafa, a computer science Ph.D. student at Columbia University, joins us to discuss his latest research on developing a machine-learning model...

27 Mars 202340min

The Panel Study of Income Dynamics

The Panel Study of Income Dynamics

Noura Insolera, a Research Investigator with the Panel Study of Income Dynamics (PSID), joins us to share how PSID conducts longitudinal household surveys. She also shared some interesting findings fr...

21 Mars 202334min

Populärt inom Vetenskap

allt-du-velat-veta
dumma-manniskor
p3-dystopia
rss-ufobortom-rimligt-tvivel
sexet
rss-vetenskapsradion
medicinvetarna
ufo-sverige
rss-vetenskapsradion-2
svd-nyhetsartiklar
hacka-livet
det-morka-psyket
kapitalet-en-podd-om-ekonomi
halsorevolutionen
paranormalt-med-caroline-giertz
ufo-sverige-2
rss-klotet
ideer-som-forandrar-varlden
pojkmottagningen
bildningspodden