Ahmed Frikha

Affiliations:
  • Huawei Munich Research Center, Germany
  • Ludwig Maximilian University of Munich, Germany (PhD 2022)
  • Siemens, Germany (former)


According to our database1, Ahmed Frikha authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs.
CoRR, 2024

ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets.
CoRR, 2024

IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization.
CoRR, 2024

PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding.
CoRR, 2024

Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep knowledge transfer for generalization across tasks and domains under data scarcity: on intersections of anomaly detection, few-shot learning, continual learning, domain generalization and data-free learning.
PhD thesis, 2022

CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
CoRR, 2022

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
CoRR, 2022

Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Towards Data-Free Domain Generalization.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption.
CoRR, 2021

Few-Shot One-Class Classification via Meta-Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ARCADe: A Rapid Continual Anomaly Detector.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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