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Guerraoui, Rachid
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1

All Byzantine Agreement Problems Are Expensive:

, In: Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing,
Civit, Pierre ; Gilbert, Seth ; Guerraoui, Rachid... - p. 157-169 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Robust Machine Learning: Distributed Methods for Safe AI 

Machine Learning: Foundations, Methodologies, and Applications
Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael - 1st ed. 2024 . , 2024
Link: https://doi.org/10.1007/..
 
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3

Practical Robustness:

, In: Robust Machine Learning; Machine Learning: Foundations, Methodologies, and Applications,
Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael - p. 113-154 , 2024
Link: https://doi.org/10.1007/..
 
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4

Robust and Private Federated Learning on LLMs:

, In: Large Language Models in Cybersecurity,
Guerraoui, Rachid ; Gupta, Nirupam - p. 189-196 , 2024
Link: https://doi.org/10.1007/..
 
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5

Fundamentals of Robust Machine Learning:

, In: Robust Machine Learning; Machine Learning: Foundations, Methodologies, and Applications,
Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael - p. 55-92 , 2024
Link: https://doi.org/10.1007/..
 
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6

Byzantine Machine Learning: A Primer:

Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael
ACM Computing Surveys.  56 (2024)  7 - p. 1-39 , 2024
Link: https://doi.org/10.1145/..
 
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7

DARE to Agree: Byzantine Agreement With Optimal Resilience ..:

, In: Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing,
Civit, Pierre ; Dzulfikar, Muhammad Ayaz ; Gilbert, Seth... - p. 145-156 , 2024
Link: https://dl.acm.org/doi/1..
 
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8

Federated Machine Learning:

, In: Robust Machine Learning; Machine Learning: Foundations, Methodologies, and Applications,
Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael - p. 33-53 , 2024
Link: https://doi.org/10.1007/..
 
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9

Basics of Machine Learning:

, In: Robust Machine Learning; Machine Learning: Foundations, Methodologies, and Applications,
Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael - p. 15-31 , 2024
Link: https://doi.org/10.1007/..
 
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10

Adversarial Evasion on LLMs:

, In: Large Language Models in Cybersecurity,
Guerraoui, Rachid ; Pinot, Rafael - p. 181-188 , 2024
Link: https://doi.org/10.1007/..
 
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11

Optimal Robustness:

, In: Robust Machine Learning; Machine Learning: Foundations, Methodologies, and Applications,
Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael - p. 93-112 , 2024
Link: https://doi.org/10.1007/..
 
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12

Context and Motivation:

, In: Robust Machine Learning; Machine Learning: Foundations, Methodologies, and Applications,
Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael - p. 1-13 , 2024
Link: https://doi.org/10.1007/..
 
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13

Brief Announcement: A Case for Byzantine Machine Learning:

, In: Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing,
Farhadkhani, Sadegh ; Guerraoui, Rachid ; Gupta, Nirupam. - p. 131-134 , 2024
Link: https://dl.acm.org/doi/1..
 
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14

Efficacy of temporal and spatial abstraction for training a..:

Boubouh, Karim ; Basmadjian, Robert ; Ardakanian, Omid..
Energy and Buildings.  296 (2023)  - p. 113377 , 2023
Link: https://doi.org/10.1016/..
 
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15

Byzantine consensus is $$\Theta (n^2)$$: the Dolev-Reischuk..:

Civit, Pierre ; Dzulfikar, Muhammad Ayaz ; Gilbert, Seth...
Distributed Computing.  37 (2023)  2 - p. 89-119 , 2023
Link: https://doi.org/10.1007/..
 
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