GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
Authors: Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan | Published: 2023-12-13
データプライバシー評価
Does Differential Privacy Prevent Backdoor Attacks in Practice?
Authors: Fereshteh Razmi, Jian Lou, Li Xiong | Published: 2023-11-10
Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service
Authors: Yuanmin Tang, Jing Yu, Keke Gai, Xiangyan Qu, Yue Hu, Gang Xiong, Qi Wu | Published: 2023-11-10
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Authors: Dominik Hintersdorf, Lukas Struppek, Kristian Kersting | Published: 2023-08-18
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach
Authors: Mohammad Hoseinpour, Milad Hoseinpour, Ali Aghagolzadeh | Published: 2023-07-25 | Updated: 2024-02-12
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning
Authors: Spencer Giddens, Yiwang Zhou, Kevin R. Krull, Tara M. Brinkman, Peter X. K. Song, Fang Liu | Published: 2023-07-24 | Updated: 2024-09-27
Maximal Information Leakage from Quantum Encoding of Classical Data
Authors: Farhad Farokhi | Published: 2023-07-24 | Updated: 2024-01-02
The importance of feature preprocessing for differentially private linear optimization
Authors: Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon | Published: 2023-07-19 | Updated: 2024-02-19
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling
Authors: Xiaoyun Li, Ping Li | Published: 2023-06-13
“Private Prediction Strikes Back!” Private Kernelized Nearest Neighbors with Individual Renyi Filter
Authors: Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang | Published: 2023-06-12