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.
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Bibliography
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
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
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020