Session 12C
NDSS 2025 – SiGuard: Guarding Secure Inference With Post Data Privacy
Session 12C: Membership Inference Authors, Creators & Presenters: Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi Lai (CSIRO Data61), Xun Yi (RMIT University), Xingliang Yuan (University of Melbourne) PAPER SIGuard: Guarding ...
NDSS 2025 – A Method To Facilitate Membership Inference Attacks In Deep Learning Models
Session 12C: Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman (University of British Columbia) PAPER A Method to Facilitate Membership Inference Attacks in Deep Learning Models ...
NDSS 2025 – Diffence: Fencing Membership Privacy With Diffusion Models
Session 12C: Membership Inference Authors, Creators & Presenters: PAPER Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst) Deep learning models, while achieving ...
NDSS 2025 – Black-Box Membership Inference Attacks Against Fine-Tuned Diffusion Models
Session 12C: Membership Inference Authors, Creators & Presenters: Yan Pang (University of Virginia), Tianhao Wang (University of Virginia) PAPER Black-box Membership Inference Attacks against Fine-tuned Diffusion Models With the rapid advancement of ...
