ARCADe: A Rapid Continual Anomaly Detector. - Ahmed Frikha 002; Denis Krompaß; Volker Tresp (ICPR, 2020)

Few-Shot One-Class Classification via Meta-Learning. - Ahmed Frikha 002; Denis Krompaß; Hans-Georg Köpken; Volker Tresp (AAAI, 2021)

COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. - Ahmed Frikha 002; Denis Krompaß; Volker Tresp (CoRR, 2021)

Towards Data-Free Domain Generalization. - Ahmed Frikha 002; Haokun Chen; Denis Krompaß; Thomas A. Runkler; Volker Tresp (ACML, 2022)

Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. - Ahmed Frikha 002; Denis Krompaß; Volker Tresp (ICPR, 2022)

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. - Haokun Chen; Ahmed Frikha 002; Denis Krompass; Volker Tresp (CoRR, 2022)

CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. - Yao Zhang; Haokun Chen; Ahmed Frikha 002; Yezi Yang; Denis Krompass; Gengyuan Zhang; Jindong Gu; Volker Tresp (CoRR, 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 002 (2022)

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. - Haokun Chen; Ahmed Frikha 002; Denis Krompass; Jindong Gu; Volker Tresp (ICCV, 2023)

Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CVPR Workshops, 2024)

PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization. - Ahmed Frikha 002; Nassim Walha; Krishna Kanth Nakka; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets. - Ahmed Frikha 002; Nassim Walha; Ricardo Mendes; Krishna Kanth Nakka; Xue Jiang; Xuebing Zhou (CoRR, 2024)

PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. - Yao Zhang; Haokun Chen; Ahmed Frikha 002; Denis Krompass; Gengyuan Zhang; Jindong Gu; Volker Tresp (WACV, 2025)

One-Class Domain Adaptation via Meta-Learning. - Stephanie Holly; Thomas Bierweiler; Stefan von Dosky; Ahmed Frikha 002; Clemens Heitzinger; Jana Eder (CoRR, 2025)

PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders. - Ahmed Frikha 002; Muhammad Reza Ar Razi; Krishna Kanth Nakka; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2025)