Publications

5 / 3,604 publications found.


  •  Yu, X., Smedemark-Margulies, N., Aeron, S., Koike-Akino, T., Moulin, P., Brand, M., Parsons, K., Wang, Y., "Improving Adversarial Robustness by Learning Shared Information", Pattern Recognition, DOI: 10.1016/​j.patcog.2022.109054, Vol. 134, pp. 109054, November 2022.
    BibTeX TR2022-141 PDF
    • @article{Yu2022nov,
    • author = {Yu, Xi and Smedemark-Margulies, Niklas and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Brand, Matthew and Parsons, Kieran and Wang, Ye},
    • title = {Improving Adversarial Robustness by Learning Shared Information},
    • journal = {Pattern Recognition},
    • year = 2022,
    • volume = 134,
    • pages = 109054,
    • month = nov,
    • doi = {10.1016/j.patcog.2022.109054},
    • issn = {0031-3203},
    • url = {https://www.merl.com/publications/TR2022-141}
    • }
  •  Rakin, A.S., Wang, Y., Aeron, S., Koike-Akino, T., Moulin, P., Parsons, K., "Towards Universal Adversarial Examples and Defenses", IEEE Information Theory Workshop, DOI: 10.1109/​ITW48936.2021.9611439, October 2021.
    BibTeX TR2021-125 PDF Video
    • @inproceedings{Rakin2021oct,
    • author = {Rakin, Adnan S and Wang, Ye and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Parsons, Kieran},
    • title = {Towards Universal Adversarial Examples and Defenses},
    • booktitle = {IEEE Information Theory Workshop},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ITW48936.2021.9611439},
    • isbn = {978-1-6654-0312-2},
    • url = {https://www.merl.com/publications/TR2021-125}
    • }
  •  Wang, Y., Aeron, S., Rakin, A.S., Koike-Akino, T., Moulin, P., "Robust Machine Learning via Privacy/Rate-Distortion Theory", IEEE International Symposium on Information Theory (ISIT), DOI: 10.1109/​ISIT45174.2021.9517751, July 2021.
    BibTeX TR2021-082 PDF Video Presentation
    • @inproceedings{Wang2021jul,
    • author = {Wang, Ye and Aeron, Shuchin and Rakin, Adnan S and Koike-Akino, Toshiaki and Moulin, Pierre},
    • title = {Robust Machine Learning via Privacy/Rate-Distortion Theory},
    • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
    • year = 2021,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/ISIT45174.2021.9517751},
    • isbn = {978-1-5386-8210-4},
    • url = {https://www.merl.com/publications/TR2021-082}
    • }
  •  Jayashankar, T., Le Roux, J., Moulin, P., "Detecting Audio Attacks on ASR Systems with Dropout Uncertainty", Interspeech, DOI: 10.21437/​Interspeech.2020-1846, October 2020, pp. 4671-4675.
    BibTeX TR2020-137 PDF Presentation
    • @inproceedings{Jayashankar2020oct,
    • author = {Jayashankar, Tejas and Le Roux, Jonathan and Moulin, Pierre},
    • title = {Detecting Audio Attacks on ASR Systems with Dropout Uncertainty},
    • booktitle = {Interspeech},
    • year = 2020,
    • pages = {4671--4675},
    • month = oct,
    • doi = {10.21437/Interspeech.2020-1846},
    • issn = {1990-9772},
    • url = {https://www.merl.com/publications/TR2020-137}
    • }
  •  Wang, Y., Aeron, S., Rakin, A.S., Koike-Akino, T., Moulin, P., "Robust Machine Learning via Privacy/Rate-Distortion Theory", arXiv, July 2020.
    BibTeX arXiv
    • @article{Wang2020jul,
    • author = {Wang, Ye and Aeron, Shuchin and Rakin, Adnan S and Koike-Akino, Toshiaki and Moulin, Pierre},
    • title = {Robust Machine Learning via Privacy/Rate-Distortion Theory},
    • journal = {arXiv},
    • year = 2020,
    • month = jul,
    • url = {https://arxiv.org/abs/2007.11693}
    • }