Graph-Level Label-Only Membership Inference Attack Against Graph Neural Networks by Jiazhu Dai, Yubing Lu

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Publishing neural networks in drug discovery might compromise training data privacy by Fabian P. Krüger, Johan Östman, Lewis Mervin, Igor V. Tetko, Ola Engkvist

Subjects: “…Membership inference attack…”
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Membership inference attacks against transfer learning for generalized model by Jinyin CHEN, Wenchang SHANGGUAN, Jingjing ZHANG, Haibin ZHENG, Yayu ZHENG, Xuhong ZHANG

Subjects: “…membership inference attack…”
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Membership inference attack and defense method in federated learning based on GAN by Jiale ZHANG, Chengcheng ZHU, Xiaobing SUN, Bing CHEN

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PCA-based membership inference attack for machine learning models by Changgen PENG, Ting GAO, Huilan LIU, Hongfa DING

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StyleMI: An Image Processing-Based Method for Detecting Unauthorized Style Mimicry in Fine-Tuned Diffusion Models in a More Realistic Scenario by Xinjun Zhang, Shixin Zuo, Yu Sang

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A survey on membership inference attacks and defenses in machine learning by Jun Niu, Peng Liu, Xiaoyan Zhu, Kuo Shen, Yuecong Wang, Haotian Chi, Yulong Shen, Xiaohong Jiang, Jianfeng Ma, Yuqing Zhang

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Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity by Daniel Jiménez-López, Nuria Rodríguez-Barroso, M. Victoria Luzón, Javier Del Ser, Francisco Herrera

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PPFL-DCS: Privacy-Preserving Federated Learning Using Neural Transformer and Leveraging Dynamic Client Selection to Accommodate Data Diversity by Nakul Mehta, Nitesh Bharot, John G. Breslin, Priyanka Verma

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