Convolutional Neural Networks: Epic Fails
Transcript of Convolutional Neural Networks: Epic Fails
![Page 1: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/1.jpg)
Convolutional Neural Networks: Epic Fails
Laura E. Boucheron
College of Engineering Klipsch School of Electrical & Computer Engineering
![Page 2: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/2.jpg)
Nguyen, A., Yosinski, J., & Clune, J. (2015). Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 427-436).
Penguin (99.99%)
Electric Guitar(98.90%)
All figures on this slide taken from the reference at the top
![Page 3: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/3.jpg)
Nguyen, A., Yosinski, J., & Clune, J. (2015). Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 427-436).
Penguin (99.99%)
Electric Guitar(98.90%)
All figures on this slide taken from the reference at the top
![Page 4: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/4.jpg)
Nguyen, A., Yosinski, J., & Clune, J. (2015). Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 427-436).
Penguin (99.99%) Penguin (99.99%)
Electric Guitar(98.90%)
Electric Guitar(99.99%)
All figures on this slide taken from the reference at the top
![Page 5: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/5.jpg)
Nguyen, A., Yosinski, J., & Clune, J. (2015). Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 427-436).
Penguin (99.99%) Penguin (99.99%)
Electric Guitar(98.90%)
Electric Guitar(99.99%)
Other >99.5% confidence predictions:
Remote control Baseball
All figures on this slide taken from the reference at the top
![Page 6: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/6.jpg)
Nguyen, A., Yosinski, J., & Clune, J. (2015). Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 427-436).
Penguin (99.99%) Penguin (99.99%)
Electric Guitar(98.90%)
Electric Guitar(99.99%)
Other >99.5% confidence predictions:
Remote control Baseball
Freight car African grey
All figures on this slide taken from the reference at the top
![Page 7: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/7.jpg)
Nguyen, A., Yosinski, J., & Clune, J. (2015). Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 427-436).
Penguin (99.99%) Penguin (99.99%)
Electric Guitar(98.90%)
Electric Guitar(99.99%)
Other >99.5% confidence predictions:
Remote control Baseball
Freight car African grey
Cheetah Jackfruit
All figures on this slide taken from the reference at the top
![Page 8: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/8.jpg)
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013). Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199.
School Bus
All figures on this slide taken from the reference at the top
![Page 9: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/9.jpg)
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013). Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199.
School Bus
All figures on this slide taken from the reference at the top
![Page 10: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/10.jpg)
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013). Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199.
School Bus Ostrich
All figures on this slide taken from the reference at the top
![Page 11: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/11.jpg)
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013). Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199.
School Bus OstrichPerturbation
All figures on this slide taken from the reference at the top
![Page 12: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/12.jpg)
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013). Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199.
Correct Perturbation Ostrich Correct Perturbation Ostrich
All figures on this slide taken from the reference at the top
![Page 13: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/13.jpg)
Engstrom, L., Tran, B., Tsipras, D., Schmidt, L., & Madry, A. (2017). A rotation and a translation suffice: Fooling cnns with simple transformations. arXiv preprint arXiv:1712.02779.
revolver vulture
All figures on this slide taken from the reference at the top
![Page 14: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/14.jpg)
Engstrom, L., Tran, B., Tsipras, D., Schmidt, L., & Madry, A. (2017). A rotation and a translation suffice: Fooling cnns with simple transformations. arXiv preprint arXiv:1712.02779.
revolver vulture
All figures on this slide taken from the reference at the top
![Page 15: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/15.jpg)
Engstrom, L., Tran, B., Tsipras, D., Schmidt, L., & Madry, A. (2017). A rotation and a translation suffice: Fooling cnns with simple transformations. arXiv preprint arXiv:1712.02779.
revolver
mousetrap
vulture
orangutan
All figures on this slide taken from the reference at the top
![Page 16: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/16.jpg)
Rosenfeld, A., Zemel, R., & Tsotsos, J. K. (2018). The elephant in the room. arXiv preprint arXiv:1808.03305.
All figures on this slide taken from the reference at the top
![Page 17: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/17.jpg)
Rosenfeld, A., Zemel, R., & Tsotsos, J. K. (2018). The elephant in the room. arXiv preprint arXiv:1808.03305.
All figures on this slide taken from the reference at the top
![Page 18: Convolutional Neural Networks: Epic Fails](https://reader030.fdocuments.us/reader030/viewer/2022012507/6183a1e110c3da0a0677e8d1/html5/thumbnails/18.jpg)
Rosenfeld, A., Zemel, R., & Tsotsos, J. K. (2018). The elephant in the room. arXiv preprint arXiv:1808.03305.
All figures on this slide taken from the reference at the top