Tag: ai data privacy
Browse our exclusive articles!
AdaBFL: Adaptive Multi-Layer Defense for Robust FL
Discover AdaBFL, a multi-layer adaptive aggregation framework enhancing Byzantine-robust federated learning with dynamic defenses against attacks.
Secret Stealing Attacks on Local LLM Fine-Tuning Backdoors
Discover how supply-chain model code backdoors enable secret stealing attacks on local LLM fine-tuning, threatening data privacy and security.
X-NegoBox: Secure Privacy Budgeting for P2P Energy Data
Discover X-NegoBox, a framework enabling explainable, adaptive privacy budgeting for secure peer-to-peer energy data exchange and enhanced prosumer trust.
Managing Expectations in Smart-Home AI for Ethical Design
Explore how managing user expectations in smart-home AI fosters ethical design, balancing privacy, autonomy, and trust for better user experiences.
Resolving Client Disagreements in Federated Learning Models
Explore a taxonomy and strategy to manage client-level disagreements in federated learning, ensuring fair, efficient model training across diverse clients.