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Fowl, Liam
31  Ergebnisse:
Personensuche X
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1

Exploring Sequence-to-Sequence Transformer-Transducer Model..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Labrador, Beltran ; Zhao, Guanlong ; Moreno, Ignacio Lopez... - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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2

Poisons that are learned faster are more effective:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Sandoval-Segura, Pedro ; Singla, Vasu ; Fowl, Liam... - p. 197-204 , 2022
Link: https://doi.org/10.1109/..
 
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3

Can Neural Nets Learn the Same Model Twice? Investigating R..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Somepalli, Gowthami ; Fowl, Liam ; Bansal, Arpit... - p. 13689-13698 , 2022
Link: https://doi.org/10.1109/..
 
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4

Strong Data Augmentation Sanitizes Poisoning and Backdoor A..:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Borgnia, Eitan ; Cherepanova, Valeriia ; Fowl, Liam... - p. 3855-3859 , 2021
Link: https://doi.org/10.1109/..
 
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5

Deep k-NN Defense Against Clean-Label Data Poisoning Attack:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2020 Workshops,
Peri, Neehar ; Gupta, Neal ; Huang, W. Ronny... - p. 55-70 , 2020
Link: https://doi.org/10.1007/..
 
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6

Headless Horseman: Adversarial Attacks on Transfer Learning..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Abdelkader, Ahmed ; Curry, Michael J. ; Fowl, Liam... - p. 3087-3091 , 2020
Link: https://doi.org/10.1109/..
 
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7

Teacher Prompting for Federated Hotword Training:

Fowl, Liam ; Moreno, Ignacio Lopez ; Peng, Cheng-Chieh...
https://www.tdcommons.org/dpubs_series/6232.  , 2023
Link: https://www.tdcommons.or..
 
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8

Thinking Two Moves Ahead: Anticipating Other Users Improves..:

Wen, Yuxin ; Geiping, Jonas ; Fowl, Liam...
http://arxiv.org/abs/2210.09305.  , 2022
Link: http://arxiv.org/abs/221..
 
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9

Can Neural Nets Learn the Same Model Twice? Investigating R..:

Somepalli, Gowthami ; Fowl, Liam ; Bansal, Arpit...
http://arxiv.org/abs/2203.08124.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Poisons that are learned faster are more effective:

Sandoval-Segura, Pedro ; Singla, Vasu ; Fowl, Liam...
http://arxiv.org/abs/2204.08615.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Fishing for User Data in Large-Batch Federated Learning via..:

Wen, Yuxin ; Geiping, Jonas ; Fowl, Liam..
http://arxiv.org/abs/2202.00580.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Decepticons: Corrupted Transformers Breach Privacy in Feder..:

Fowl, Liam ; Geiping, Jonas ; Reich, Steven...
http://arxiv.org/abs/2201.12675.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Execute Order 66: Targeted Data Poisoning for Reinforcement..:

Foley, Harrison ; Fowl, Liam ; Goldstein, Tom.
http://arxiv.org/abs/2201.00762.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

Exploring Sequence-to-Sequence Transformer-Transducer Model..:

Labrador, Beltrán ; Zhao, Guanlong ; Moreno, Ignacio López...
http://arxiv.org/abs/2211.06478.  , 2022
Link: http://arxiv.org/abs/221..
 
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15

DP-InstaHide: Provably Defusing Poisoning and Backdoor Atta..:

Borgnia, Eitan ; Geiping, Jonas ; Cherepanova, Valeriia...
http://arxiv.org/abs/2103.02079.  , 2021
Link: http://arxiv.org/abs/210..
 
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