Ahmed Frikha - RankMe

22 papers A* 2A 1B 2C 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. WACV Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2025	—	`conf`	IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization. IJCNLP-AACL (long papers) Ahmed Frikha, Nassim Walha, Krishna Kanth Nakka, Ricardo Mendes, Xue Jiang, Xuebing Zhou
2025	J	`jnl`	One-Class Domain Adaptation via Meta-Learning. CoRR Stephanie Holly, Thomas Bierweiler, Stefan von Dosky, Ahmed Frikha, Clemens Heitzinger, Jana Eder
2025	—	`conf`	PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs. IJCNLP-AACL (long papers) Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou
2025	J	`jnl`	PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders. CoRR Ahmed Frikha, Muhammad Reza Ar Razi, Krishna Kanth Nakka, Ricardo Mendes, Xue Jiang, Xuebing Zhou
2024	—	`conf`	Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights. CVPR Workshops Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou
2024	J	`jnl`	IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization. CoRR Ahmed Frikha, Nassim Walha, Krishna Kanth Nakka, Ricardo Mendes, Xue Jiang, Xuebing Zhou
2024	J	`jnl`	ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets. CoRR Ahmed Frikha, Nassim Walha, Ricardo Mendes, Krishna Kanth Nakka, Xue Jiang, Xuebing Zhou
2024	J	`jnl`	PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding. CoRR Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou
2024	J	`jnl`	PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs. CoRR Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou
2023	A*	`conf`	FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp
2022	J	`jnl`	CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. CoRR Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
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. Ahmed Frikha
2022	B	`conf`	Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. ICPR Ahmed Frikha, Denis Krompaß, Volker Tresp
2022	J	`jnl`	FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp
2022	C	`conf`	Towards Data-Free Domain Generalization. ACML Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
2021	J	`jnl`	COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. CoRR Ahmed Frikha, Denis Krompaß, Volker Tresp
2021	A*	`conf`	Few-Shot One-Class Classification via Meta-Learning. AAAI Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp
2021	J	`jnl`	Towards Data-Free Domain Generalization. CoRR Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
2020	B	`conf`	ARCADe: A Rapid Continual Anomaly Detector. ICPR Ahmed Frikha, Denis Krompaß, Volker Tresp
2020	J	`jnl`	ARCADe: A Rapid Continual Anomaly Detector. CoRR Ahmed Frikha, Denis Krompaß, Volker Tresp
2020	J	`jnl`	Few-Shot One-Class Classification via Meta-Learning. CoRR Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp