ML Backdoors
NDSS 2025 – NDSS 2025 – BARBIE: Robust Backdoor Detection Based On Latent Separability
Session 12D: ML Backdoors Authors, Creators & Presenters: Hanlei Zhang (Zhejiang University), Yijie Bai (Zhejiang University), Yanjiao Chen (Zhejiang University), Zhongming Ma (Zhejiang University), Wenyuan Xu (Zhejiang University) PAPER BARBIE: Robust Backdoor ...
NDSS 2025 – Defending Against Backdoor Attacks On Graph Neural Networks Via Discrepancy Learning
Session 12D: ML Backdoors Authors, Creators & Presenters: Hao Yu (National University of Defense Technology), Chuan Ma (Chongqing University), Xinhang Wan (National University of Defense Technology), Jun Wang (National University of Defense ...
NDSS 2025 – Try to Poison My Deep Learning Data? Nowhere To Hide Your Trajectory Spectrum!
Session 12D: ML Backdoors Authors, Creators & Presenters: Yansong Gao (The University of Western Australia), Huaibing Peng (Nanjing University of Science and Technology), Hua Ma (CSIRO's Data61), Zhi Zhang (The University of ...
NDSS 2025 – CLIBE: Detecting Dynamic Backdoors In Transformer-based NLP Models
Session 12D: ML Backdoors Authors, Creators & Presenters: Rui Zeng (Zhejiang University), Xi Chen (Zhejiang University), Yuwen Pu (Zhejiang University), Xuhong Zhang (Zhejiang University), Tianyu Du (Zhejiang University), Shouling Ji (Zhejiang University) ...
NDSS 2025 – LADDER: Multi-Objective Backdoor Attack Via Evolutionary Algorithm
Session 12D: ML Backdoors Authors, Creators & Presenters: Dazhuang Liu (Delft University of Technology), Yanqi Qiao (Delft University of Technology), Rui Wang (Delft University of Technology), Kaitai Liang (Delft University of Technology), ...
