1 citations · 1 across the 2 of their papers we have counts for
3 papers
Benchmark Scores Are Pipeline-Dependent: A Reliability Audit of Cybersecurity LLM Benchmarks
Aymene Berriche, Cathrine Shalby, Mohannad Alhanahnah +1
Large language model (LLM) benchmarks are often treated as fixed datasets with stable scores, yet their outcomes depend on configurable evaluation pipelines. We audit eight cyberse…
Sign-Symmetry Learning Rules are Robust Fine-Tuners
Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi
Backpropagation (BP) has long been the predominant method for training neural networks due to its effectiveness. However, numerous alternative approaches, broadly categorized under…
Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval
Aymene Berriche, Mehdi Adjal Zakaria, Riyadh Baghdadi
Deep hashing techniques have emerged as the predominant approach for efficient image retrieval. Traditionally, these methods utilize pre-trained convolutional neural networks (CNNs…