4 papers
Memory poisoning and secure multi-agent systems
Vicenç Torra, Maria Bras-Amorós
Memory poisoning attacks for Agentic AI and multi-agent systems (MAS) have recently caught attention. It is partially due to the fact that Large Language Models (LLMs) facilitate t…
Realistic Image-to-Image Machine Unlearning via Decoupling and Knowledge Retention
Ayush K. Varshney, Vicenç Torra
Machine Unlearning allows participants to remove their data from a trained machine learning model in order to preserve their privacy, and security. However, the machine unlearning…
Unlearning Clients, Features and Samples in Vertical Federated Learning
Ayush K. Varshney, Konstantinos Vandikas, Vicenç Torra
Federated Learning (FL) has emerged as a prominent distributed learning paradigm. Within the scope of privacy preservation, information privacy regulations such as GDPR entitle use…
Efficient Federated Unlearning under Plausible Deniability
Ayush K. Varshney, Vicenç Torra
Privacy regulations like the GDPR in Europe and the CCPA in the US allow users the right to remove their data ML applications. Machine unlearning addresses this by modifying the ML…