Dataset Inference for Self-Supervised Models
Authors: Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot | Published: 2022-09-16 | Updated: 2023-01-13
ポイズニング
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Authors: Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David Doermann, Arun Innanje | Published: 2022-09-10
Reducing Certified Regression to Certified Classification for General Poisoning Attacks
Authors: Zayd Hammoudeh, Daniel Lowd | Published: 2022-08-29 | Updated: 2022-12-29
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Authors: Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang | Published: 2022-08-22
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network
Authors: Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu | Published: 2022-08-21 | Updated: 2023-04-25
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Authors: Kerem Ozfatura, Emre Ozfatura, Alptekin Kupcu, Deniz Gunduz | Published: 2022-08-21 | Updated: 2024-01-01
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System
Authors: Abdur R. Shahid, Ahmed Imteaj, Peter Y. Wu, Diane A. Igoche, Tauhidul Alam | Published: 2022-08-17
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Authors: Hamid Mozaffari, Virendra J. Marathe, Dave Dice | Published: 2022-08-16
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone
Authors: Aghiles Ait Messaoud, Sonia Ben Mokhtar, Vlad Nitu, Valerio Schiavoni | Published: 2022-08-11 | Updated: 2022-10-15
Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Authors: Megha Khosla | Published: 2022-07-22 | Updated: 2022-10-19