Privacy-preserving Quantification of Non-IID Degree in Federated Learning
Authors: Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin | Published: 2024-06-14
ウォーターマーキング
Noise-Aware Differentially Private Regression via Meta-Learning
Authors: Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner | Published: 2024-06-12
Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation
Authors: Zhaoyi Lu, Wenchao Xu, Ming Tu, Xin Xie, Cunqing Hua, Nan Cheng | Published: 2024-06-11 | Updated: 2024-06-12
Robust Distribution Learning with Local and Global Adversarial Corruptions
Authors: Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee | Published: 2024-06-10 | Updated: 2024-06-24
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
Authors: Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis | Published: 2024-06-09 | Updated: 2024-09-07
GENIE: Watermarking Graph Neural Networks for Link Prediction
Authors: Venkata Sai Pranav Bachina, Ankit Gangwal, Aaryan Ajay Sharma, Charu Sharma | Published: 2024-06-07 | Updated: 2025-01-12
Contrastive explainable clustering with differential privacy
Authors: Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti | Published: 2024-06-07
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
Authors: Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang | Published: 2024-06-03
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
Authors: Zhibo Xing, Zijian Zhang, Zi'ang Zhang, Jiamou Liu, Liehuang Zhu, Giovanni Russello | Published: 2024-06-03
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Authors: Weijun Li, Qiongkai Xu, Mark Dras | Published: 2024-06-03 | Updated: 2024-10-04