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Guerraoui, Rachid
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1

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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2

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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3

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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4

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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5

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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6

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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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

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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9

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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10

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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11

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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12

On the Validity of Consensus:

, In: Proceedings of the 2023 ACM Symposium on Principles of Distributed Computing,
Civit, Pierre ; Gilbert, Seth ; Guerraoui, Rachid.. - p. 332-343 , 2023
Link: https://dl.acm.org/doi/1..
 
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13

Diablo: A Benchmark Suite for Blockchains:

, In: Proceedings of the Eighteenth European Conference on Computer Systems,
Gramoli, Vincent ; Guerraoui, Rachid ; Lebedev, Andrei.. - p. 540-556 , 2023
Link: https://dl.acm.org/doi/1..
 
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14

uBFT: Microsecond-Scale BFT using Disaggregated Memory:

, In: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2,
Aguilera, Marcos K. ; Ben-David, Naama ; Guerraoui, Rachid... - p. 862-877 , 2023
Link: https://dl.acm.org/doi/1..
 
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15

Byzantine-Resilient Learning Beyond Gradients: Distributing..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Kucharavy, Andrei ; Monti, Matteo ; Guerraoui, Rachid. - p. 295-298 , 2023
Link: https://dl.acm.org/doi/1..
 
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