Subject Membership Inference Attacks in Federated Learning
Authors: Anshuman Suri, Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson | Published: 2022-06-07 | Updated: 2023-06-02
DFLに対する攻撃手法
Defense Against Gradient Leakage Attacks via Learning to Obscure Data
Authors: Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang | Published: 2022-06-01
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Authors: Zeyan Liu, Fengjun Li, Jingqiang Lin, Zhu Li, Bo Luo | Published: 2022-05-31 | Updated: 2022-08-12
White-box Membership Attack Against Machine Learning Based Retinopathy Classification
Authors: Mounia Hamidouche, Reda Bellafqira, Gwenolé Quellec, Gouenou Coatrieux | Published: 2022-05-30
Robust Quantity-Aware Aggregation for Federated Learning
Authors: Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie | Published: 2022-05-22 | Updated: 2023-07-26
Focused Adversarial Attacks
Authors: Thomas Cilloni, Charles Walter, Charles Fleming | Published: 2022-05-19
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution
Authors: Zhixin Pan, Prabhat Mishra | Published: 2022-05-18
On the (In)security of Peer-to-Peer Decentralized Machine Learning
Authors: Dario Pasquini, Mathilde Raynal, Carmela Troncoso | Published: 2022-05-17 | Updated: 2023-11-10
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations
Authors: Yongjie Wang, Hangwei Qian, Chunyan Miao | Published: 2022-05-13
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions
Authors: Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo | Published: 2022-05-01 | Updated: 2022-07-12