Mohamed Amine Merzouk
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View article: Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs Open
Organizations are increasingly adopting and adapting Large Language Models (LLMs) hosted on public repositories such as HuggingFace. Although these adaptations often improve performance on specialized downstream tasks, recent evidence indi…
View article: Diffusion-Based Adversarial Purification for Intrusion Detection
Diffusion-Based Adversarial Purification for Intrusion Detection Open
View article: Diffusion-based Adversarial Purification for Intrusion Detection
Diffusion-based Adversarial Purification for Intrusion Detection Open
The escalating sophistication of cyberattacks has encouraged the integration of machine learning techniques in intrusion detection systems, but the rise of adversarial examples presents a significant challenge. These crafted perturbations …
View article: Parameterizing poisoning attacks in federated learning-based intrusion detection
Parameterizing poisoning attacks in federated learning-based intrusion detection Open
International audience
View article: Evading Deep Reinforcement Learning-based Network Intrusion Detection with Adversarial Attacks
Evading Deep Reinforcement Learning-based Network Intrusion Detection with Adversarial Attacks Open
International audience