ポイズニング

I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences

Authors: Daryna Oliynyk, Rudolf Mayer, Andreas Rauber | Published: 2022-06-16 | Updated: 2023-06-06
ポイズニング
メンバーシップ推論
敵対的攻撃手法

Deep Leakage from Model in Federated Learning

Authors: Zihao Zhao, Mengen Luo, Wenbo Ding | Published: 2022-06-10
DFLに対する攻撃手法
ポイズニング
連合学習

Gradient Obfuscation Gives a False Sense of Security in Federated Learning

Authors: Kai Yue, Richeng Jin, Chau-Wai Wong, Dror Baron, Huaiyu Dai | Published: 2022-06-08 | Updated: 2022-10-14
DFLに対する攻撃手法
ポイズニング
再構築耐久性

Group privacy for personalized federated learning

Authors: Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi | Published: 2022-06-07 | Updated: 2022-09-04
プライバシー評価
ポイズニング
連合学習

Building Robust Ensembles via Margin Boosting

Authors: Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala | Published: 2022-06-07
ポイズニング
ロバスト性
敵対的攻撃手法

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

Authors: Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie | Published: 2022-06-07 | Updated: 2022-10-31
バイアス
ポイズニング
対抗的学習

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
DFLに対する攻撃手法
プライバシー評価
ポイズニング

Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data

Authors: Huancheng Chen, Haris Vikalo | Published: 2022-06-01 | Updated: 2023-04-20
トレーニングプロトコル
プライバシー評価
ポイズニング

Differential Privacy: What is all the noise about?

Authors: Roxana Danger | Published: 2022-05-19
DP-SGD
プライバシー手法
ポイズニング

Representation learning with function call graph transformations for malware open set recognition

Authors: Jingyun Jia, Philip K. Chan | Published: 2022-05-13 | Updated: 2022-07-12
ポイズニング
マルウェア分類
自己教師あり学習