U-Noise: Learnable Noise Masks for Interpretable Image Segmentation
Koker, Teddy, Mireshghallah, Fatemehsadat, Titcombe, Tom, Kaissis, Georgios
Published in 2021 IEEE International Conference on Image Processing (ICIP) (19.09.2021)
Published in 2021 IEEE International Conference on Image Processing (ICIP) (19.09.2021)
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Conference Proceeding
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models
Mireshghallah, Fatemehsadat, Goyal, Kartik, Berg-Kirkpatrick, Taylor
Published in arXiv.org (04.04.2022)
Published in arXiv.org (04.04.2022)
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Paper
Journal Article
Privacy-Preserving Domain Adaptation of Semantic Parsers
Mireshghallah, Fatemehsadat, Su, Yu, Hashimoto, Tatsunori, Eisner, Jason, Shin, Richard
Published in arXiv.org (08.06.2023)
Published in arXiv.org (08.06.2023)
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Paper
Journal Article
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation
Koker, Teddy, Mireshghallah, Fatemehsadat, Titcombe, Tom, Kaissis, Georgios
Published in arXiv.org (25.11.2022)
Published in arXiv.org (25.11.2022)
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Paper
Journal Article
What Does it Mean for a Language Model to Preserve Privacy?
Brown, Hannah, Lee, Katherine, Mireshghallah, Fatemehsadat, Shokri, Reza, Tramèr, Florian
Published in arXiv.org (14.02.2022)
Published in arXiv.org (14.02.2022)
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Paper
Journal Article
Methods and systems for learning noise distributions for neural networks
Mireshghallah, Fatemehsadat, Taram, Mohammadkazem, Esmaeilzadeh, Hadi
Year of Publication 11.06.2024
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Year of Publication 11.06.2024
Patent
METHODS AND SYSTEMS FOR LEARNING NOISE DISTRIBUTIONS FOR NEURAL NETWORKS
Mireshghallah, Fatemehsadat, Taram, Mohammadkazem, Esmaeilzadeh, Hadi
Year of Publication 09.05.2024
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Year of Publication 09.05.2024
Patent
Membership Inference Attacks against Language Models via Neighbourhood Comparison
Mattern, Justus, Mireshghallah, Fatemehsadat, Jin, Zhijing, Schölkopf, Bernhard, Sachan, Mrinmaya, Berg-Kirkpatrick, Taylor
Published in arXiv.org (07.08.2023)
Published in arXiv.org (07.08.2023)
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Journal Article