Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-004-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-004-alpha.b-cdn.net
      • sl-yoda-v2-stream-004-beta.b-cdn.net
      • 1685195716.rsc.cdn77.org
      • 1239898752.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches

            Jul 22, 2022

            Speakers

            MP

            Maura Pintor

            Speaker · 0 followers

            DA

            Daniele Angioni

            Speaker · 0 followers

            AS

            Angelo Sotgiu

            Speaker · 0 followers

            Organizer

            I2
            I2

            ICML 2022

            Account · 493 followers

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
            05:38

            Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning

            Alberto Bietti, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Slimmable Quantum Federated Learning
            13:53

            Slimmable Quantum Federated Learning

            Won Joon Yun, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Variational Wasserstein gradient flow
            04:59

            Variational Wasserstein gradient flow

            Jiaojiao Fan, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            LIDL: Local Intrinsic Dimension estimation using approximate Likelihood
            18:09

            LIDL: Local Intrinsic Dimension estimation using approximate Likelihood

            Piotr Tempczyk, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Improving Out-of-Distribution Robustness via Selective Augmentation
            05:49

            Improving Out-of-Distribution Robustness via Selective Augmentation

            Huaxiu Yao, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            How Neural Networks See, Learn and Forget
            29:35

            How Neural Networks See, Learn and Forget

            Maithra Raghu

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow ICML 2022