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Kairouz, Peter
88  Ergebnisse:
Personensuche X
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1

Breaking the Communication-Privacy-Accuracy Trilemma:

Chen, Wei-Ning ; Kairouz, Peter ; Ozgur, Ayfer
IEEE Transactions on Information Theory.  69 (2023)  2 - p. 1261-1281 , 2023
Link: https://doi.org/10.1109/..
 
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2

A Tunable Loss Function for Robust Classification: Calibrat..:

Sypherd, Tyler ; Diaz, Mario ; Cava, John Kevin...
IEEE Transactions on Information Theory.  68 (2022)  9 - p. 6021-6051 , 2022
Link: https://doi.org/10.1109/..
 
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3

Generating Fair Universal Representations Using Adversarial..:

Kairouz, Peter ; Liao, Jiachun ; Huang, Chong...
IEEE Transactions on Information Forensics and Security.  17 (2022)  - p. 1970-1985 , 2022
Link: https://doi.org/10.1109/..
 
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4

Back to the Drawing Board: A Critical Evaluation of Poisoni..:

, In: 2022 IEEE Symposium on Security and Privacy (SP),
Shejwalkar, Virat ; Houmansadr, Amir ; Kairouz, Peter. - p. 1354-1371 , 2022
Link: https://doi.org/10.1109/..
 
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5

Privacy-utility trades in crowdsourced signal map obfuscati..:

Zhang, Jiang ; Clark, Lillian ; Clark, Matthew..
Computer Networks.  215 (2022)  - p. 109187 , 2022
Link: https://doi.org/10.1016/..
 
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6

Towards Sparse Federated Analytics: Location Heatmaps under..:

Bagdasaryan, Eugene ; Kairouz, Peter ; Mellem, Stefan...
Proceedings on Privacy Enhancing Technologies.  2022 (2022)  4 - p. 162-182 , 2022
Link: https://doi.org/10.56553..
 
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7

Federated learning and privacy:

Bonawitz, Kallista ; Kairouz, Peter ; Mcmahan, Brendan.
Communications of the ACM.  65 (2022)  4 - p. 90-97 , 2022
Link: https://doi.org/10.1145/..
 
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8

Federated Learning and Privacy : Building privacy-preser..:

Bonawitz, Kallista ; Kairouz, Peter ; McMahan, Brendan.
Queue.  19 (2021)  5 - p. 87-114 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Federated Learning and Privacy: Building privacy-preserving..:

Bonawitz, Kallista ; Kairouz, Peter ; McMahan, Brendan.
Queue.  19 (2021)  5 - p. 87-114 , 2021
Link: https://doi.org/10.1145/..
 
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10

Privacy-first health research with federated learning:

Sadilek, Adam ; Liu, Luyang ; Nguyen, Dung...
npj Digital Medicine.  4 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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11

On the Rényi Differential Privacy of the Shuffle Model:

, In: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security,
Girgis, Antonious M. ; Data, Deepesh ; Diggavi, Suhas.. - p. 2321-2341 , 2021
Link: https://dl.acm.org/doi/1..
 
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12

DP-CGAN: Differentially Private Synthetic Data and Label Ge..:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Torkzadehmahani, Reihaneh ; Kairouz, Peter ; Paten, Benedict - p. 98-104 , 2019
Link: https://doi.org/10.1109/..
 
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13

Siamese Generative Adversarial Privatizer for Biometric Dat:

, In: Computer Vision – ACCV 2018; Lecture Notes in Computer Science,
Oleszkiewicz, Witold ; Kairouz, Peter ; Piczak, Karol.. - p. 482-497 , 2019
Link: https://doi.org/10.1007/..
 
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14

Context-Aware Generative Adversarial Privacy:

Huang, Chong ; Kairouz, Peter ; Chen, Xiao..
Entropy.  19 (2017)  12 - p. 656 , 2017
Link: https://doi.org/10.3390/..
 
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15

The Composition Theorem for Differential Privacy:

Kairouz, Peter ; Oh, Sewoong ; Viswanath, Pramod
IEEE Transactions on Information Theory.  63 (2017)  6 - p. 4037-4049 , 2017
Link: https://doi.org/10.1109/..
 
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