On Adversarial Robustness Of Large-Scale Audio Visual Learning
Author:
Affiliation:
1. Carnegie Mellon University
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746124.pdf?arnumber=9746124
Reference23 articles.
1. Robustness Guarantees for Deep Neural Networks on Videos
2. Large-scale adversarial training for vision-and-language representation learning;gan,2020
3. Empir: Ensembles of mixed precision deep networks for increased robustness against adversarial attacks;sen;ICLRE,2020
4. Multimodal Machine Learning: A Survey and Taxonomy
5. What Makes Training Multi-Modal Classification Networks Hard?
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1. USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
2. Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09
3. Staying Stronger Together: Synergy From Multiple Sensors;Computer;2022-09
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