98 citations · 282 across the 36 of their papers we have counts for
4 papers · 1 filter
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum
Nashrah Haque, Xiang Li, Zhehui Chen +4
We propose a novel framework, Stable Diffusion-based Momentum Integrated Adversarial Examples (SD-MIAE), for generating adversarial examples that can effectively mislead neural net…
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Federated learning is emerging as a promising machine learning technique in the medical field for analyzing medical images, as it is considered an effective method to safeguard sen…
On the Efficiency of Privacy Attacks in Federated Learning
Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang +2
Recent studies have revealed severe privacy risks in federated learning, represented by Gradient Leakage Attacks. However, existing studies mainly aim at increasing the privacy att…
Security and Privacy Challenges of Large Language Models: A Survey
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Large Language Models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and que…