Choo, Kim-Kwang Raymond

5 publications

UAI 2025 Improving Adversarial Transferability via Decision Boundary Adaptation Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo

NeurIPS 2024 DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices Yongzhe Jia, Xuyun Zhang, Hongsheng Hu, Kim-Kwang Raymond Choo, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Wanchun Dou

AAAI 2024 MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo

IJCAI 2024 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable than You Thought Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu

ECML-PKDD 2023 Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen